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Publications - Jan Flusser


Books and chapters (16)
1. * Jan Flusser, Tomáš Suk, Jitka Kostková, Matěj Lébl, I. Ibrahim: Moment Invariants of Vector and Tensor Fields. Recent Progress in Image Moments and Moment Invariants vol. 7. Recent Progress in Moments and Moment Invariants, 1-28. Science Gate Publishing P.C., Thrace 2021.   Download
2. * Jan Flusser, Tomáš Suk, Barbara Zitová: 2D and 3D Image Analysis by Moments. John Wiley & Sons, Chichester 2016.   Download
3. * Jan Flusser: Moment Invariants for Object Recognition. Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley&Sons, Boca Raton 2015.   Download
4. * Filip Šroubek, Jan Flusser: Removing camera shake in smartphones without hardware stabilization. Motion Deblurring: Algorithms and Systems, 100-122. Cambridge University Press, GB 2014.   Download
5. * B. Honarvar Shakibaei Asli, Jan Flusser: Image Deconvolution in the Moment Domain. Moments and Moment Invariants: Theory and Applications, 111-125. Science Gate Publishing, Xanthi 2014.   Download
6. * Jan Flusser, Tomáš Suk, Barbara Zitová: 模式识别中时矩和矩不变量. John Wiley & Univ. of Science and Technology of China Press, Hefei 2014.   Download
7. * Bo Yang, Tomáš Suk, M. Dai, Jan Flusser: 2D and 3D Image Analysis by Gaussian-Hermite Moments. Moments and Moment Invariants: Theory and Applications, 143-173. Science Gate Publishing, Xanthi 2014.   Download
8. * Michal Šorel, Filip Šroubek, Jan Flusser: Towards super-resolution in the presence of spatially varying blur. Super-resolution imaging, 1-38. CRC Press, Boca Raton 2010.   Download
9. * Jan Flusser, Tomáš Suk, Barbara Zitová: Moments and Moment Invariants in Pattern Recognition. Wiley & sons, Chichester 2009.
10. * Michal Šorel, Filip Šroubek, Jan Flusser: Recent Advances in Space-Variant Deblurring and Image Stabilization. Unexploded ordnance detection and mitigation, 259-272. Springer Science + Business Media B.V, Dordrecht, The Netherlands 2009.   Download
11. * Filip Šroubek, Jan Flusser, G. Cristóbal: Multiframe blind deconvolution coupled with frame registration and resolution enhancement. Blind Image Deconvolution: Theory and Application, 317-348. CRC Press, Boca Raton 2007.   Download
12. * Filip Šroubek, Jan Flusser, Barbara Zitová: Image fusion: a powerful tool for object identification. Imaging for Detection 2006. NATO Advance Study Institute, 1-20. Springer, Dordrecht 2006.   Download
13. * Filip Šroubek, Jan Flusser: Fusion of blurred images. Signal Processing and Communications Series. 26. Multi-Sensor Image Fusion and Its Applications, 405-430. CRC Press, San Francisco 2005.   Download
14. * Barbara Zitová, Jan Flusser: Invariants to convolution and rotation. Series in Machine Perception and Artificial Intelligence. 42. Invariants for Pattern Recognition and Classification, 23-46. World Scientific, Singapore 2000.
15. * Jan Flusser: Fast calculation of geometric moments of binary images. Pattern Recognition and Medical Computer Vision, 265-274. ÖCG, Illmitz 1998.   Download
16. * Jan Flusser, T. Suk: Classification of Objects and Patterns by Affine Moment Invariants. Image Processing: Theory and Applications, 345-348. Elsevier, Amsterdam 1993.

Journal articles (114)
1. * Jan Flusser, Matěj Lébl, Filip Šroubek, M. Pedone, Jitka Kostková: Blur Invariants for Image Recognition. International Journal of Computer Vision 131:9 (2023), 2298-2315. Springer.   Download
2. * S. H. Abdulhussain, B. M. Mahmmod, A. AlGhadhban, Jan Flusser: Face Recognition Algorithm Based on Fast Computation of Orthogonal Moments. Mathematics 10. MDPI.   Download
3. * S. H. Abdulhussain, B. M. Mahmmod, Jan Flusser, K. A. AL-Utaibi: Fast Overlapping Block Processing Algorithm for Feature Extraction. Symmetry-Basel 14. MDPI.   Download
4. * L. Bedratyuk, Jan Flusser, Tomáš Suk, Jitka Kostková, J. Kautský: Non-separable rotation moment invariants. Pattern Recognition 127. Elsevier.   Download
5. * M. Yamni, H. Karmouni, M. Sayyouri, H. Qjidaa, Jan Flusser: Novel Octonion Moments for color stereo image analysis. Digital Signal Processing 108. Elsevier.   Download
6. * Jitka Kostková, Tomáš Suk, Jan Flusser: Affine Invariants of Vector Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 43:4 (2021), 1140-1155. IEEE Computer Society.   Download
7. * Jan Flusser, Tomáš Suk, Barbara Zitová: Complete and Incomplete Sets of Invariants. Journal of Mathematical Imaging and Vision 63:1 (2021), 917-922. Springer.   Download
8. * Matěj Lébl, Filip Šroubek, Jan Flusser: Blur-Invariant Similarity Measurement of Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 43:8 (2021), 2882-2884. IEEE Computer Society.   Download
9. * M. Yamni, A. Daoui, O. El ogri, H. Karmouni, M. Sayyouri, H. Qjidaa, Jan Flusser: Fractional Charlier Moments for Image Reconstruction and Image Watermarking. Signal Processing 171. Elsevier.   Download
10. * Jitka Kostková, Jan Flusser, Matěj Lébl, M. Pedone: Handling Gaussian Blur without Deconvolution. Pattern Recognition 103. Elsevier.   Download
11. * Jitka Kostková, Jan Flusser: Robust Multivariate Density Estimation under Gaussian Noise. Multidimensional Systems and Signal Processing 31:3 (2020), 1113-1143. Springer.   Download
12. * Barmak Honarvar Shakibaei Asli, Jan Flusser, Y. Zhao, J. A. Erkoyuncu, K. B. Krishnan, Y. Farrokhi, A. R. Roy: Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure. IEEE Access 8:1 (2020), 141342-141357. Institute of Electrical and Electronics Engineers.   Download
13. * Barmak Honarvar Shakibaei Asli, Jan Flusser, Y. Zhao, J. A. Erkoyuncu: Filter-generating system of Zernike polynomials. Automatica 108. Elsevier.   Download
14. * Cyril Höschl, Jan Flusser: CLOSE-TO-OPTIMAL ALGORITHM FOR RECTANGULAR DECOMPOSITION OF 3D SHAPES. Kybernetika 55:5 (2019), 755-781. Ústav teorie informace a automatizace AV ČR, v. v. i..   Download
15. * B. Yang, Jitka Kostková, Jan Flusser, Tomáš Suk, R. Bujack: Rotation invariants of vector fields from orthogonal moments. Pattern Recognition 74:1 (2018), 110-121. Elsevier.   Download
16. * B. Yang, Tomáš Suk, Jan Flusser, Z. Shi, X. Chen: Rotation invariants from Gaussian-Hermite moments of color images. Signal Processing 143:1 (2018), 282-291. Elsevier.   Download
17. * Barmak Honarvar Shakibaei Asli, Jan Flusser: Discrete Hermite moments and their application in chemometrics. Chemometrics and Intelligent Laboratory Systems 177:1 (2018), 83-88. Elsevier.   Download
18. * B. Yang, Jan Flusser, J. Kautský: Rotation of 2D orthogonal polynomials. Pattern Recognition Letters 102:1 (2018), 44-49. Elsevier.   Download
19. * Barmak Honarvar Shakibaei Asli, Jan Flusser: New discrete orthogonal moments for signal analysis. Signal Processing 141:1 (2017), 57-73. Elsevier.   Download
20. * B. Yang, Jitka Kostková, Jan Flusser, Tomáš Suk: Scale invariants from Gaussian-Hermite moments. Signal Processing 132:1 (2017), 77-84. Elsevier.   Download
21. * S. F. Pratama, A. K. Muda, J. H. Choo, Jan Flusser, A. Abraham: ATS drugs molecular structure representation using refined 3D geometric moment invariants. Journal of Mathematical Chemistry 55:10 (2017), 1951-1963.   Download
22. * Jan Flusser, Sajad Farokhi, Cyril Höschl, Tomáš Suk, Barbara Zitová, M. Pedone: Recognition of Images Degraded by Gaussian Blur. IEEE Transactions on Image Processing 25:2 (2016), 790-806. Institute of Electrical and Electronics Engineers.   Download
23. * Cyril Höschl, Jan Flusser: Robust histogram-based image retrieval. Pattern Recognition Letters 69:1 (2016), 72-81. Elsevier.   Download
24. * J. Kautsky, Jan Flusser: Numerical problems with the Pascal triangle in moment computation. Journal of Computational and Applied Mathematics 306:1 (2016), 53-68. Elsevier.   Download
25. * Jan Kamenický, Michal Bartoš, Jan Flusser, Babak Mahdian, Jan Kotera, Adam Novozámský, Stanislav Saic, Filip Šroubek, Michal Šorel, Aleš Zita, Barbara Zitová, Z. Šíma, P. Švarc, J. Hořínek: PIZZARO: Forensic analysis and restoration of image and video data. Forensic Science International 264:1 (2016), 153-166. Elsevier.   Download
26. * Sajad Farokhi, Jan Flusser, U. U. Sheikh: Near infrared face recognition: A literature survey. Computer Science Review 21:1 (2016), 1-17. Elsevier.   Download
27. * Adam Novozámský, Jan Flusser, I. Tachecí, L. Sulík, J. Bureš, O. Krejcar: Automatic blood detection in capsule endoscopy video. Journal of Biomedical Optics 21:12 (2016), 1-8.   Download
28. * Bo Yang, Jan Flusser, Tomáš Suk: 3D rotation invariants of Gaussian-Hermite moments. Pattern Recognition Letters 54:1 (2015), 18-26. Elsevier.   Download
29. * M. Pedone, Jan Flusser, J. Heikkila: Registration of Images with N-fold Dihedral Blur. IEEE Transactions on Image Processing 24:3 (2015), 1036-1045. Institute of Electrical and Electronics Engineers.   Download
30. * Jan Flusser, Tomáš Suk, Jiří Boldyš, Barbara Zitová: Projection Operators and Moment Invariants to Image Blurring. IEEE Transactions on Pattern Analysis and Machine Intelligence 37:4 (2015), 786-802. IEEE Computer Society.   Download
31. * Sajad Farokhi, U.U. Sheikh, Jan Flusser, Bo Yang: Near infrared face recognition using Zernike moments and Hermite kernels. Information Sciences 316:1 (2015), 234-245. Elsevier.   Download
32. * M. Pedone, E. Bayro-Corrochano, Jan Flusser, J. Heikkilä: Quaternion Wiener Deconvolution for Noise Robust Color Image Registration. IEEE Signal Processing Letters 22:9 (2015), 1278-1282. Institute of Electrical and Electronics Engineers.   Download
33. * Tomáš Suk, Jan Flusser, Jiří Boldyš: 3D rotation invariants by complex moments. Pattern Recognition 48:11 (2015), 3516-3526. Elsevier.   Download
34. * Bo Yang, Jan Flusser, Tomáš Suk: Design of high-order rotation invariants from Gaussian-Hermite moments. Signal Processing 113:1 (2015), 61-67. Elsevier.   Download
35. * Sajad Farokhi, S.M. Shamsuddin, U.U. Sheikh, Jan Flusser, M. Khansari, K. Jafari-Khouzani: Near infrared face recognition by combining Zernike moments and undecimated discrete wavelet transform. Digital Signal Processing 31:1 (2014), 13-27. Elsevier.   Download
36. * Jan Flusser, Tomáš Suk, Barbara Zitová: Comments on "Weed Recognition using Image Blur Information" by Peng, Z. & Jun, C., Biosystems Engineering 110 (2), p. 198-205”. Biosystems Engineering 126 (2014), 104-108. Elsevier.   Download
37. * Tomáš Suk, Jan Flusser: Recognition of Symmetric 3D Bodies. Symmetry-Basel 6:3 (2014), 722-757. MDPI.   Download
38. * B. Honarvar Shakibaei Asli, Jan Flusser: Fast computation of Krawtchouk moments. Information Sciences 288:1 (2014), 73-86. Elsevier.   Download
39. * Sajad Farokhi, U. U. Sheikh, Jan Flusser, S. M. Shamsuddin, H. Hashemi: Evaluating Feature Extractors and Dimension Reduction Methods for Near Infrared Face Recognition Systems. Jurnal Teknologi 70:1 (2014), 23-33.
40. * Jan Flusser, Tomáš Suk, Barbara Zitová: On the Recognition of Wood Slices by Means of Blur Invariants. Sensors and Actuators A - Physical 198:1 (2013), 113-118. Elsevier.   Download
41. * S. Farokhi, S. M. Shamsuddin, Jan Flusser, U. U. Sheikh, M. Khansari, K. Jafari-Khouzani: Rotation and Noise Invariant Near-Infrared Face Recognition by means of Zernike Moments and Spectral Regression Discriminant Analysis. Journal of Electronic Imaging 22:1 (2013), 1-11.   Download
42. * Bo Yang, Jan Flusser, Tomáš Suk: Steerability of Hermite Kernel. International Journal of Pattern Recognition and Artificial Intelligence 27:4 (2013).   Download
43. * Jan Flusser, Barbara Zitová: A Comment on a Novel Approach for the Registration of Weak Affine Images. Pattern Recognition Letters 34:12 (2013), 1381-1385. Elsevier.   Download
44. * Jiří Sedlář, Barbara Zitová, Jaromír Kopeček, Jan Flusser, T. Todorcius, Irena Kratochvílová: Automatic Determination of the Size of Elliptical Nanoparticles from AFM Images. Journal of Nanoparticle Research 15:8 (2013), 1-10. Springer.   Download
45. * Tomáš Suk, P. Novotný, Jan Flusser: Computer-Aided Leaf Recognition Visual System. ERCIM News 95 (2013), 15-16. European Research Consortium for Informatics and Mathematics.
46. * M. Pedone, Jan Flusser, J. Heikkilä: Blur Invariant Translational Image Registration for N-fold Symmetric Blurs. IEEE Transactions on Image Processing 22:9 (2013), 3676-3689. Institute of Electrical and Electronics Engineers.   Download
47. * Sajad Farokhi, Siti Mariyam Shamsuddin, Jan Flusser, Usman Ullah Sheikh: Assessment of Time-Lapse in Visible and Thermal Face Recognition. International Journal of Computer and Communication Engineering 6:1 (2012), 181-186.   Download
48. * Tomáš Suk, Cyril Höschl, Jan Flusser: Decomposition of Binary images - A Survey and Comparison. Pattern Recognition 45:12 (2012), 4279-4291. Elsevier.   Download
49. * Tomáš Suk, Jan Flusser: Affine Moment Invariants Generated by Graph Method. Pattern Recognition 44:9 (2011). Elsevier.   Download
50. * Michal Šorel, Filip Šroubek, Jan Flusser: Multichannel deblurring of digital images. Kybernetika 47:3 (2011), 439-454. Ústav teorie informace a automatizace AV ČR, v. v. i..   Download
51. * J. Kautsky, Jan Flusser: Blur Invariants Constructed From Arbitrary Moments. IEEE Transactions on Image Processing 20:12 (2011), 3606-3611. Institute of Electrical and Electronics Engineers.   Download
52. * Jan Flusser, J. Kautský, Filip Šroubek: Implicit Moment Invariants. International Journal of Computer Vision 86:1 (2010), 72-86. Springer.   Download
53. * Filip Šroubek, Jan Flusser, G. Cristobal: Super-Resolution and Blind Deconvolution For Rational Factors With an Application to Color Images. Computer Journal 52:1 (2009), 142-152.   Download
54. * Jakub Bican, Jan Flusser: 3D Rigid Registration by Cylindrical Phase Correlation Method. Pattern Recognition Letters 30:10 (2009), 914-921. Elsevier.   Download
56. * Michal Šorel, Jan Flusser: Space-Variant Restoration of Images Degraded by Camera Motion Blur. IEEE Transactions on Image Processing 17:2 (2008), 105-116. Institute of Electrical and Electronics Engineers.   Download
57. * Ondřej Horáček, Jan Kamenický, Jan Flusser: Recognition of partially occluded and deformed binary objects. Pattern Recognition Letters 29:3 (2008), 360-369. Elsevier.   Download
58. * Jiří Boldyš, Jan Flusser: Extension of Moment Features’ Invariance to Blur. Journal of Mathematical Imaging and Vision 32:1 (2008), 227-238. Springer.   Download
59. * Filip Šroubek, G. Cristobal, Jan Flusser: Simultaneous super-resolution and blind deconvolution. Journal of Physics: Conference Series 124, 1-8. Institute of Physics Publishing.   Download
60. * Jiří Sedlář, Jan Flusser, M. Sedlářová: Photorealistic Modeling of the Growth of Filamentous Specimens. EURASIP Journal on Advances in Signal Processing 520972 (2008), 1-9.   Download
61. * Jan Flusser, J. Kautsky, Filip Šroubek: Object recognition by implicit invariants. Lecture Notes in Computer Science 4673 (2007), 856-863.   Download
62. * Filip Šroubek, G. Cristóbal, Jan Flusser: A Unified Approach to Superresolution and Multichannel Blind Deconvolution. IEEE Transactions on Image Processing 16:9 (2007), 2322-2332. Institute of Electrical and Electronics Engineers.   Download
63. * Michal Šorel, Jan Flusser: Restoration of color images degraded by space-variant motion blur. Lecture Notes in Computer Science 4673 (2007), 450-457.   Download
64. * F. Krolupper, Jan Flusser: Polygonal shape description for recognition of partially occluded objects. Pattern Recognition Letters 28:9 (2007), 1002-1011. Elsevier.   Download
65. * Jakub Bican, Jan Flusser: Cylindrical Phase Correlation Method. Lecture Notes in Computer Science 4673 (2007), 751-758.
66. * Jan Flusser: Současné metody rozpoznávání obrazů. Automa 13:10 (2007), 46-47.
67. * Jan Flusser, P. Bartošík, E. Vaculíková: Rozhovor o fungování vědeckého týmu. Automa 13:10 (2007), 45-45.
68. * Jan Flusser: Fúze digitálních snímků. Bulletin Grantové agentury České republiky 15:4-5 (2007), 7-10.
69. * Filip Šroubek, Jan Flusser: Resolution enhancement via probabilistic deconvolution of multiple degraded images. Pattern Recognition Letters 27:4 (2006), 287-293. Elsevier.   Download
70. * Jan Flusser: Moment Invariants in Image Analysis. Trans. on Engineering, Computing and Technology 11:2 (2006), 196-201.
71. * Jan Flusser, Tomáš Suk: Rotation Moment Invariants for Recognition of Symmetric Objects. IEEE Transactions on Image Processing 15:12 (2006), 3784-3790. Institute of Electrical and Electronics Engineers.   Download
72. * Petr Luner, Jan Flusser: Fast evaluation of Thin-Plate Splines on fine square grids. Kybernetika 41:1 (2005), 97-112. Ústav teorie informace a automatizace AV ČR, v. v. i..   Download
73. * Filip Šroubek, Jan Flusser: Multichannel blind deconvolution of spatially misaligned images. IEEE Transactions on Image Processing 14:7 (2005), 874-883. Institute of Electrical and Electronics Engineers.   Download
74. * Stanislava Šimberová, Jan Flusser: Multichannel Blind Deconvolution As A Tool For Solar Image Restoration. Solar Physics 228, 165-175. Springer.
75. * Tomáš Suk, Jan Flusser: Affine normalization of symmetric objects. Proceedings of the 7th International Conference on Advanced Concepts for Intelligent Vision Systems 3708:- (2005), 100-107.
76. * Ondřej Horáček, Jan Kamenický, Jan Flusser: Recognition of partially occluded and deformed binary objects. Proceedings of the 11th International Conference on Computer Analysis of Images and Patterns. CAIP 2005 3691:- (2005), 415-422.   Download
77. * Jan Flusser, Tomáš Suk: Moment invariants for recognizing symmetric objects. Computer Analysis of Images and Patterns. Proceedings 3691:- (2005), 9-16.
78. * Barbara Zitová, Jan Flusser, Filip Šroubek: An application of image processing in the medieval mosaic conservation. Pattern Analysis and Applications 7:1 (2004), 18-25.   Download
79. * Tomáš Suk, Jan Flusser: Projective moment invariants. IEEE Transactions on Pattern Analysis and Machine Intelligence 26:10 (2004), 1364-1367. IEEE Computer Society.   Download
80. * Barbara Zitová, Jan Flusser: Digital image processing in art conservation. ERCIM News, 44-45. European Research Consortium for Informatics and Mathematics.
81. * Jan Flusser, Jiří Boldyš, Barbara Zitová: Moment forms invariant to rotation and blur in arbitrary number of dimensions. IEEE Transactions on Pattern Analysis and Machine Intelligence 25:2 (2003), 234-246. IEEE Computer Society.   Download
82. * Jan Flusser: Rozpoznávání objektů na poškozených snímcích. Softwarové noviny 14:6 (2003), 79-81.
83. * Barbara Zitová, Jan Flusser: Image registration methods: a survey. Image and Vision Computing 21:11 (2003), 977-1000. Elsevier.   Download
84. * Filip Šroubek, Jan Flusser: Multichannel blind iterative image restoration. IEEE Transactions on Image Processing 12:9 (2003), 1094-1106. Institute of Electrical and Electronics Engineers.   Download
85. * Tomáš Suk, Jan Flusser: Combined blur and affine moment invariants and their use in pattern recognition. Pattern Recognition 36:12 (2003), 2895-2907. Elsevier.   Download
86. * Jan Flusser: On the inverse problem of rotation moment invariants. Pattern Recognition 35:12 (2002), 3015-3017. Elsevier.   Download
87. * Jan Flusser: Affine invariants of convex polygons. IEEE Transactions on Image Processing 11:9 (2002), 1117-1118. Institute of Electrical and Electronics Engineers.   Download
88. * I. Knížková, P. Kunc, M. Koubková, Jan Flusser, O. Doležal: Evaluation of naturally ventilated dairy barn management by a thermographic method. Livestock Production Science 77, 349-353.   Download
89. * M. Koubková, I. Knížková, P. Kunc, H. Hartlová, Jan Flusser: Influence of high environmental temperatures and evaporative cooling on some physiological, hematological, and biochemical parameters in high-yielding dairy cows. Czech Journal of Animal Science 47:8 (2002), 309-318. Czech Academy of Agricultural Sciences.
90. * J. Kautsky, Jan Flusser, Barbara Zitová, Stanislava Šimberová: A new wavelet-based measure of image focus. Pattern Recognition Letters 23:14 (2002), 1785-1794. Elsevier.   Download
91. * Jan Flusser: On the independence of rotation moment invariants. Pattern Recognition 33:9 (2000), 1405-1410. Elsevier.   Download
92. * Tomáš Suk, Jan Flusser: Point-based projective invariants. Pattern Recognition 33:2 (2000), 251-261. Elsevier.   Download
93. * Jan Flusser, Jiří Boldyš, Barbara Zitová: Invariants to convolution in arbitrary dimensions. Journal of Mathematical Imaging and Vision 13:2 (2000), 101-113. Springer.   Download
94. * Jan Flusser: Refined moment calculation using image block representation. IEEE Transactions on Image Processing 9:11 (2000), 1977-1978. Institute of Electrical and Electronics Engineers.   Download
95. * I. Knížková, P. Kunc, M. Koubková, Jan Flusser, O. Doležal: The changes of skin capillary return in dependence on the microclimatic changes in diary. Abstract. Physiological Research 49:4 (2000), 21. Fyziologický ústav AV ČR, v. v. i..
96. * P. Kunc, I. Knížková, M. Koubková, Jan Flusser, O. Doležal: Machine milking and its influence on temperature states of udder. Abstract. Czech Journal of Animal Science 45:1 (2000), 6. Czech Academy of Agricultural Sciences.
97. * P. Kunc, I. Knížková, M. Koubková, Jan Flusser, O. Doležal: Porovnání strukových návleček na základě teplotních stavů struků. Research in Agricultural Engineering 46:3 (2000), 104-108. Česká akademie zemědělských věd.
98. * Barbara Zitová, J. Kautsky, G. Peters, Jan Flusser: Robust detection of significant points in multiframe images. Pattern Recognition Letters 20:2 (1999), 199-206. Elsevier.   Download
99. * Jan Flusser, Barbara Zitová: Combined invariants to linear filtering and rotation. International Journal of Pattern Recognition and Artificial Intelligence 13:8 (1999), 1123-1136.   Download
100. * Barbara Zitová, Jan Flusser: Landmark recognition using invariant features. Pattern Recognition Letters 20:5 (1999), 541-547. Elsevier.   Download
101. * Jan Flusser, Tomáš Suk: Degraded image analysis: An invariant approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 20:6 (1998), 590-603. IEEE Computer Society.   Download
102. * Jan Flusser, Tomáš Suk: On selecting the best features in a noisy environment. Kybernetika 34:4 (1998), 411-416. Ústav teorie informace a automatizace AV ČR, v. v. i..   Download
103. * Jan Flusser, Tomáš Suk: Classification of degraded signals by the method of invariants. Signal Processing 60:2 (1997), 243-249. Elsevier.   Download
104. * Jan Flusser, Tomáš Suk, Stanislav Saic: Recognition of images degraded by linear motion blur without restoration. Computing. Supplement 11, 37-51.   Download
105. * Jan Flusser, Tomáš Suk, Stanislav Saic: Recognition of blurred images by the method of moments. IEEE Transactions on Image Processing 5:3 (1996), 533-538. Institute of Electrical and Electronics Engineers.   Download
106. * Tomáš Suk, Jan Flusser: Vertex-based features for recognition of projectively deformed polygons. Pattern Recognition 29:3 (1996), 361-367. Elsevier.   Download
107. * Jan Flusser: Object matching by means of matching likelihood coefficients. Pattern Recognition Letters 16, 893-900. Elsevier.   Download
108. * Jan Flusser, Tomáš Suk, Stanislav Saic: Image features invariant with respect to blur. Pattern Recognition 28:11 (1995), 1723-1732. Elsevier.   Download
109. * Jan Flusser, Tomáš Suk: Affine moment invariants: a new tool for character recognition. Pattern Recognition Letters 15, 433-436. Elsevier.   Download
110. * Jan Flusser, Tomáš Suk: A moment-based approach to registration of images with affine geometric distortion. IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Geoscience Electronics 32:2 (1994), 382-387.   Download
111. * Jan Flusser, Tomáš Suk: Pattern Recognition by Affine Moment Invariants. Pattern Recognition 26:1 (1993), 167-174. Elsevier.   Download
112. * František Matúš, Jan Flusser: Image Representations via a Finite Radon Transform. IEEE Transactions on Pattern Analysis and Machine Intelligence 15:10 (1993), 996-1006. IEEE Computer Society.   Download
113. * Jan Flusser: An Adaptive Method for Image Registration. Pattern Recognition 25:1 (1992), 45-54.   Download
114. * L. Křivský, M. A. Soliman, Stanislava Šimberová, Jan Flusser: Proton Flare and Terrestrial Effects with Aurorae in the Minimum Phase of Solar Activity. Bulletin of the Astronomical Institutes of Czechoslovakia 42:6 (1991), 386-389.

Conference papers (132)
1. * Matěj Lébl, Jan Flusser: Invariant Convolutional Networks. Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023). IEEE, Piscataway 2023.   Download
2. * Tomáš Karella, Filip Šroubek, Jan Blažek, Jan Flusser, Václav Košík: H-NeXt: The next step towards roto-translation invariant networks. 34th British Machine Vision Conference 2023, 1-14. BMVA, Aberdeen 2023.   Download
3. * Jan Flusser: Visual Object Recognition - Traditional Methods Along with Deep Learning Approaches. 14th Conference of Data Analysis Methods for Software Systems (DAMSS23), 23-23. Vilnius University Press, Vilnius 2023.   Download
4. * Jan Flusser, Filip Šroubek, Jan Kamenický, Barbara Zitová: Video Superresolution in Real Forensic Cases. Proceedings of the 11th International Workshop on Biometrics and Forensics - IWBF2023. IEEE, Piscataway 2023.   Download
5. * Jan Flusser, Tomáš Suk, L. Bedratyuk, Tomáš Karella: 3D Non-separable Moment Invariants. Computer Analysis of Images and Patterns. CAIP 2023, 295-305. Springer, Cham 2023.   Download
6. * Václav Košík, Tomáš Karella, Jan Flusser: CNN Ensemble Robust to Rotation Using Radon Transform. Proceedings of The 12th International Conference on Image Processing Theory, Tools and Applications (IPTA 2023). IEEE, Piscataway 2023.   Download
7. * Tomáš Kerepecký, Filip Šroubek, Adam Novozámský, Jan Flusser: NeRD: Neural field-based Demosaicking. Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP), 1735-1739. IEEE, Piscataway 2023.   Download
8. * Jan Flusser, Tomáš Suk, Matěj Lébl, R. Bujack, I. Ibrahim: Affine Moment Invariants of Tensor Fields. Image Analysis: 23rd Scandinavian Conference, SCIA 2023, 299-313. Springer, Cham 2023.   Download
9. * R. Staněk, Tomáš Kerepecký, Adam Novozámský, Filip Šroubek, Barbara Zitová, Jan Flusser: Real-Time Wheel Detection and Rim Classification in Automotive Production. Proceedings of the 2023 IEEE International Conference on Image Processing (ICIP), 1410-1414. IEEE, Piscataway 2023.   Download
10. * Matěj Lébl, Filip Šroubek, Jan Flusser: Impact of Image Blur on Classification and Augmentation of Deep Convolutional Networks. Image Analysis: 23rd Scandinavian Conference, SCIA 2023, 108-117. Springer, Cham 2023.   Download
11. * Barmak Honarvar Shakibaei Asli, Jan Flusser, Y. Zhao, J. A. Erkoyuncu, R. Roy: DCT/IDCT Filter Design for Ultrasound Image Filtering. Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020), 1804-1811. IEEE, Piscataway 2021.   Download
12. * Jitka Kostková, Jan Flusser, M. Pedone: Combined Invariants to Gaussian Blur and Affine Transformation. Proceedings of the 25th International Conference on Pattern Recognition (ICPR 2020), 459-464. IEEE, Piscataway 2021.   Download
13. * Zuzana Bílková, Adam Novozámský, Michal Bartoš, Adam Dominec, Šimon Greško, Barbara Zitová, Markéta Paroubková, Jan Flusser: Human Computer Interface Based on Tongue and Lips Movements and its Application for Speech Therapy System. Electronic Imaging, Visualization and Data Analysis 2020. Society for Imaging Science and Technology, Springfield 2020.   Download
14. * Jitka Kostková, Jan Flusser: On the Null-Space of the Shape-Color Moment Invariants. Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, 402-408. Springer, Cham 2019.   Download
15. * Matěj Lébl, Filip Šroubek, J. Kautský, Jan Flusser: Blur Invariant Template Matching Using Projection onto Convex Sets. Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, 351-362. Springer, Cham 2019.   Download
16. * Jitka Kostková, Jan Flusser, Matěj Lébl, M. Pedone: Image Invariants to Anisotropic Gaussian Blur. Image Analysis : 21st Scandinavian Conference, SCIA 2019, 140-151. Springer, Cham 2019.   Download
17. * Barmak Honarvar Shakibaei Asli, Jan Flusser, Y. Zhao: 2-D Generating Function of the Zernike Polynomials and their Application for Image Classification. Proceedings of the 9th International Conference on Image Processing Theory, Tools and Applications IPTA 2019. IEEE, Piscataway 2019.   Download
18. * Jitka Kostková, Jan Flusser: Robust Histogram Estimation Under Gaussian Noise. Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, 421-432. Springer, Cham 2019.   Download
19. * Jan Flusser, Tomáš Suk, B. Yang: Orthogonal Affine Invariants from Gaussian-Hermite Moments. Computer Analysis of Images and Patterns : CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings, 413-424. Springer, Cham 2019.   Download
20. * Jitka Kostková, Tomáš Suk, Jan Flusser: Affine Moment Invariants of Vector Fields. Proceedings of the 25th IEEE International Conference on Image Processing 2018, 1338-1342. IEEE, Piscataway 2018.   Download
21. * R. Bujack, Jan Flusser: Flexible Moment Invariant Bases for 2D Scalar and Vector Fields. WSCG 2017 (25. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision) : Full Papers Proceedings, 11-20. Union Agency, Plzeň 2017.   Download
22. * Aleš Zita, Jan Flusser, Tomáš Suk, Jan Kotera: Feature Selection on Affine Moment Invariants in Relation to Known Dependencies. Computer Analysis of Images and Patterns : 17th International Conference, CAIP 2017, 285-295. Springer, Cham 2017.   Download
23. * B. Yang, Jitka Kostková, Jan Flusser, Tomáš Suk, R. Bujack: Recognition of Patterns in Vector Fields by Gaussian-Hermite Invariants. Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP 2017), 2359-2363. IEEE, Piscataway 2017.   Download
24. * Cyril Höschl, Jan Flusser: Decomposition of 3D Binary Objects into Rectangular Blocks. Digital Image Computing: Techniques and Applications (DICTA) 2016. IEEE, Piscataway 2016.   Download
25. * Jan Flusser: Visual Object Recognition in Machine Intelligence. Computational Intelligence. ACTA press, Calgary 2015.   Download
26. * Adam Novozámský, Jiří Sedlář, Aleš Zita, Filip Šroubek, Jan Flusser, J. G. Švec, J. Vydrová, Barbara Zitová: Image Analysis of Videokymographic Data. Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015, 78-82. IEEE, Piscataway 2015.   Download
27. * Jan Flusser, Tomáš Suk, Sajad Farokhi, Cyril Höschl: Recognition of Images Degraded by Gaussian Blur. Computer Analysis of Images and Patterns - CAIP 2015, 88-99. Springer International Publishing, Switzerland 2015.   Download
28. * Cyril Höschl, Jan Flusser: Noise Resistant Image Retrieval. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), 2972-2977. IEEE Computer Society, Stockholm 2014.   Download
29. * S. Farokhi, S.M. Shamsuddin, U.U. Sheikh, Jan Flusser: Near Infrared Face Recognition: A Comparison of Moment-Based Approaches. The 8th International Conference on Robotic, Vision, Signal Processing & Power Applications, 129-135. Springer, Německo 2014.
30. * Jan Blažek, Jindřich Soukup, Barbara Zitová, Jan Flusser, J. Hradilová, David Hradil, T. Tichý: M3art: A Database of Models of Canvas Paintings. Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014, 176-185. Springer International Publishing, New York 2014.   Download
31. * Tomáš Suk, Jan Flusser, P. Novotný: Comparison of Leaf Recognition by Moments and Fourier Descriptors. Computer Analysis of Images and Patterns, 221-228. Springer, Heidelberg 2013.   Download
32. * Filip Šroubek, Michal Šorel, Irena Horáčková, Jan Flusser: Patch-based blind deconvolution with parametric interpolation of convolution kernels. Proceedings of the 2013 IEEE International Conference on Image Processing ICIP 2013, 577-581. IEEE, Piscataway 2013.   Download
33. * Jan Flusser, Tomáš Suk, Jiří Boldyš, Barbara Zitová: Blur Invariants and Projection Operators. Signal Processing, Pattern Recognition and Applications, 305-312. ACTA Press, Indbruck 2013.
34. * Jan Blažek, Jindřich Soukup, Barbara Zitová, Jan Flusser, T. Tichý, J. Hradilová: Low-cost mobile system for multispectral cultural heritage data acquisition. Digital Heritage International Congress, 73-79. IEEE, Marseille 2013.   Download
35. * Jan Blažek, Barbara Zitová, Jan Flusser: Image Fusion for Difference Visualization in Art Analysis. Digital Heritage International Congress, 653-656. IEEE, Marseille 2013.   Download
36. * Jiří Boldyš, Jan Flusser: Invariants to symmetrical convolution with application to dihedral kernel symmetry. Image Analysis and Processing – ICIAP 2013, 369-378. Springer-Verlag, Berlin 2013.   Download
37. * S. Farokhi, S. M. Shamsuddin, Jan Flusser, U. U. Sheikh: Assessment of Time-Lapse in Visible and Thermal Face Recognition. Proc. WASET Int'l. Conf. Machine Learning and Pattern Recognition ICMLPR'12, 578-583. WASET, Kuala Lumpur 2012.   Download
38. * Tomáš Suk, Cyril Höschl, Jan Flusser: Rectangular Decomposition of Binary Images. Proceedings of the International Conference on Advanced Concepts for Intelligent Vision Systems Acivs'12, 213-224. Springer, Berlin 2012.   Download
39. * Filip Šroubek, Jan Kamenický, Jan Flusser: Denoising, deblurring, and superresoluton in mobile phones. Computational Imaging IX - Proceedings of the SPIE 2011. SPIE, Bellingham 2011.
40. * Tomáš Suk, Jan Flusser: Tensor Method for Constructing 3D Moment Invariants. Computer Analysis of Images and Patterns, Proceedings, 212-219. Springer, Berlin, Heidelberg 2011.   Download
41. * Jan Flusser: Komparativní studie metodiky hodnocení dle RVVI a dle citačních indexů. Hovory s informatiky 2011, 51-63. Ústav informatiky AV ČR, Praha 2011.   Download
42. * Tomáš Suk, Jan Flusser: Refined Morphological Methods of Moment Computation. Proceedings of 20th International Conference on Pattern Recognition ICPR 2010, 966-970. IEEE Computer Society, Los Alamitos, California 2010.   Download
43. Stanislava Šimberová, Michal Haindl, Jan Flusser: Mathematics improves astronomical image understanding. Mathematics and Astronomy: A joint Long Journey, 215-221. American Institute of Physics, Melville 2010.
44. * Tomáš Suk, Jan Flusser: Affine Moment Invariants of Color Images. Computer Analysis of Images and Patterns, Proceedings of the 13th International Conference CAIP 2009, 334-341. Springer, Berlin 2009.   Download
45. * Jiří Sedlář, M. Sedlářová, Jan Flusser: Image processing methods for determination of downy mildews from light microscopy images. Signal Processing Symposium, 1-4. Warsaw University of Technology, Warsaw 2009.   Download
46. * Jan Flusser, Filip Šroubek, Barbara Zitová: Fusion in Image Processing (Tutorial). Proc. 11th Int'l. Conf. on Information Fusion, 1-4. IEEE, Cologne 2008.
47. * G. Cristobal, E. Gil, Filip Šroubek, Jan Flusser, C. Miravet, F.B. Rodriguez: Superresolution imaging: a survey of current techniques. Proceedings of the Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII. SPIE, San Diego 2008.   Download
48. * Tomáš Suk, Jan Flusser: Affine Moment Invariants Generated by Automated Solution of the Equations. Proceedings of the 19th International Conference on Pattern Recognition, 3270-3273. IEEE Press, Los Alamitos 2008.   Download
49. * Filip Šroubek, Jan Flusser, Michal Šorel: Superresolution and blind deconvolution of video. Proceedings on the 19th International Conference on Pattern Recognition, 1-4. IEEE, Tampa 2008.   Download
50. * Jiří Sedlář, M. Sedlářová, Jan Flusser: Digital Processing of Light Microscopy Images in Plant Pathogen Diagnostics. Workshop on Bio-Image Informatics: Biological Imaging, Computer Vision and Data Mining, 1-2. Center for Bio-Image Informatics, Santa Barbara 2008.   Download
51. * Ondřej Horáček, Jan Flusser: Image database designed for fast and robust image search. Doktorandské dny 2007, 67-74. Česká technika ČVUT, Praha 2007.
52. * Ondřej Horáček, Jakub Bican, Jan Kamenický, Jan Flusser: Image Retrieval for Image Theft Detection. Computer Recognition Systems, 44-51. Springer, Berlin 2007.   Download
53. * J. Kautsky, Jan Flusser, Filip Šroubek: Implicit Invariants and Object Recognition. Proc. of Digital Image Computing Techniques and Applications DICTA 2007, 462-469. IEEE Computer Society, Glenelg 2007.
54. * Tomáš Suk, Jan Flusser: The Independence of the Affine Moment Invariants. Proceedings of the 5th International Workshop on Information Optics, 5-8. Springer, New York 2006.   Download
55. * Jan Kamenický, Ondřej Horáček, Jan Flusser: Polygonal Approach to Recognition of Partially Occluded Binary Objects. Proceedings of the 5th International Workshop on Information Optics, 3-4. Springer, New York 2006.
56. * Irena Váňová, Jan Flusser: Modelling of perception of non-planar scene in a defect vision. Proceedings of the 5th International Workshop on Information Optics, 1-2. Springer, New York 2006.
57. * Filip Šroubek, G. Cristóbal, Jan Flusser: Image fusion based on level set segmentation. Proceedings of 14th European Signal Processing Conference. EUSIPCO 2006, 1-5. EURASIP, Florence 2006.   Download
58. * Michal Šorel, Jan Flusser: Simultaneous recovery of scene structure and blind restoration of defocused images. Proceedings of the Computer Vision Winter Workshop 2006. CVWW' 06, 40-45. Czech Society for Cybernetics and Informatics, Prague 2006.   Download
59. * Jan Flusser: Moment invariants in image analysis. Proceedings of the International Conference on Computer Science. ICCS'06, 196-201. Computica, Prague 2006.
60. * Tomáš Suk, Jan Flusser: The Independence of the Affine Moment Invariants. Information Optics, 387-396. American Institute of Physics, USA 2006.   Download
61. * Filip Šroubek, G. Cristóbal, Jan Flusser: Blind Superresolution. Proceedings of the 5th International Workshop on Information Optics, 1-2. Springer, New York 2006.
62. * J. Sedlář, Jan Flusser, M. Sedlářová: Tracking the Growth of Filamentous Fungi by Means of the Morphological Skeleton. Analysis of Biomedical Signals and Images. BIOSIGNAL 2006, 308-311. University of Technology, Brno 2006.
63. * M. Beneš, Barbara Zitová, Jan Flusser, J. Hradilová, D. Hradil: The Image Processing System for Art Specimens: Nephele. Proceedings of 14th European Signal Processing Conference. EUSIPCO 2006, 1-5. EURASIP, Florence 2006.
64. * Irena Váňová, Jan Flusser: Modelling of perception of non-planar scene in a defect vision. Information Optics, 354-359. American Institute of Physics, USA 2006.
65. * R. Kolář, L. Kubečka, Jan Flusser, J. Jan, R. Jiřík: Noise Suppression in Retinal Autofluorescence Images. Analysis of Biomedical Signals and Images. BIOSIGNAL 2006, 302-304. University of Technology, Brno 2006.
66. * Filip Šroubek, G. Cristobal, Jan Flusser: Blind Superresolution. Proceedings in Computational Statistics, 133-145. Springer, Heidelberg 2006.
67. * Jan Kamenický, Ondřej Horáček, Jan Flusser: Polygonal Approach to Recognition of Partially Occluded Binary Objects. Information Optics, 346-353. American Institute of Physics, USA 2006.
68. * Filip Šroubek, G. Cristóbal, Jan Flusser: Combined Superresolution and Blind Deconvolution. Information Optics, 15-26. American Institute of Physics, USA 2006.   Download
69. * E. Rahtu, M. Salo, J. Heikkila, Jan Flusser: Generalized Affine Moment Invariants for Object Recognition. Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, 634-637. IEEE, Los Alamitos 2006.   Download
70. * Michal Šorel, Jan Flusser: Blind restoration of images blurred by complex camera motion and simultaneous recovery of 3D scene structure. Proceeding of the 2005 IEEE International Symposium on Signal Processing and Information Technology, 737-742. Omnipress, Madison 2005.
71. * Roman Kašpar, L. Petrů, Barbara Zitová, Jan Flusser, J. Hradilová: Microscopic cross-sections of old artworks. Proceedings of the 12th IEEE International Conference on Image Processing. ICIP'05, 578-581. IEEE, Los Alamitos 2005.
72. * Filip Šroubek, Jan Flusser: Image fusion via probabilistic deconvolution. Third International Workshop on Pattern Recognition in Remote Sensing. Proceedings, 1-5. IAPR, Kingston upon Thames 2004.   Download
73. * M. G. Forero, Filip Šroubek, Jan Flusser, R. Redondo, G. Cristobal: Automatic screening and multifocus fusion methods for diatom identification. Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation VI, 197-206. SPIE, Bellingham 2004.   Download
74. * H. Sossa, Jan Flusser: Refined method for the fast and exact computation of moment invariants. Progress in Pattern Recognition, Image Analysis, and Applications, 487-494. Springer, Berlin 2004.   Download
75. * Jan Flusser, Barbara Zitová: Invariants to convolution with circularly symmetric PSF. International Conference on Pattern Recognition. ICPR 2004, 11-14. IEEE Computer Society, Los Alamitos 2004.   Download
76. * Tomáš Suk, Jan Flusser: Graph method for generating affine moment invariants. Proceedings of the 17th International Conference on Pattern Recognition. ICPR 2004, 192-195. IEEE Computer Society, Los Alamitos 2004.   Download
77. * Filip Šroubek, Jan Flusser: Registration and fusion of blurred images. Image Analysis and Recognition. Proceedings, 122-129. Springer, Berlin 2004.   Download
78. * Barbara Zitová, Jan Flusser, Filip Šroubek: Conservation of "The Last Judgement" mosaic: Image processing. Proceedings of the 8th Computer Vision Winter Workshop. CVWW'03, 169-174. Czech Pattern Recognition Society, Prague 2003.
79. * Filip Šroubek, Jan Flusser: Shift-invariant multichannel blind restoration. Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, 332-337. University of ROMA TRE, Rome 2003.   Download
80. * Jan Flusser, Tomáš Suk: Construction of complete and independent systems of rotation moment invariants. Lecture Notes in Computer Science. 2756. Computer Analysis of Images and Patterns. Proceedings, 41-48. Springer, Berlin 2003.   Download
81. * Tomáš Suk, Jan Flusser: Blur and affine moment invariants. Proceedings of the 16th International Conference on Pattern Recognition, 339-342. IEEE Computer Society, Los Alamitos 2002.   Download
82. * Barbara Zitová, Jan Flusser: Estimation of camera planar motion from blurred images. Proceedings of the IEEE International Conference on Image Processing. ICIP'02, 329-332. IEEE, Rochester 2002.   Download
83. * Barbara Zitová, Jan Flusser, Filip Šroubek: Application of image processing for the conservation of the medieval mosaic. Proceedings of the IEEE International Conference on Image Processing. ICIP'02, 993-996. IEEE, Rochester 2002.   Download
84. * Jan Flusser, Barbara Zitová: Combined invariants to convolution and rotation and their application to image registration. Advances in Pattern Recognition - ICAPR 2001. Proceedings, 359-368. Springer, Berlin 2001.
85. * Tomáš Suk, Jan Flusser: Features invariant simultaneously to convolution and affine transformation. Lecture Notes in Computer Science. 2124. Computer Analysis of Images and Patterns. Proceedings, 183-190. Springer, Berlin 2001.   Download
86. * Jan Flusser, Barbara Zitová: Registrace obrazů aneb jak využít více různých snímků téhož objektu. Digitální zobrazování v biologii a medicíně 2001, 11-16. Entomologický ústav AV ČR, České Budějovice 2001.
87. * I. Knížková, P. Kunc, M. Koubková, Jan Flusser, O. Doležal: Effect of old and new rubber liners on teats evaluated by thermographic method. ICAR Technical Series. 7. Physiological and Technical Aspects of Machine Milking, 213-217. ICAR, Rome 2001.
88. * P. Kunc, I. Knížková, M. Koubková, Jan Flusser, O. Doležal: Effect of postmilking teat disinfecting on teat skin temperature status. ICAR Technical Series. 7. Physiological and Technical Aspects of Machine Milking, 219-223. ICAR, Rome 2001.
89. * Barbara Zitová, Jan Flusser: Combined invariants to convolution and rotation. Workshop on Image and Signal Processing and Analysis, 87-92. University of Zagreb, Pula 2000.
90. * Barbara Zitová, Jan Flusser, J. Kautsky, G. Peters: Feature point detection in multiframe images. Proceedings of the Czech Pattern Recognition Workshop 2000, 117-122. Czech Pattern Recognition Society, Praha 2000.   Download
91. * P. Kunc, I. Knížková, M. Koubková, Jan Flusser, O. Doležal: Influence of machine milking with different vacuum on teat traumatization. Proceedings of the 10th International Congress on Animal Hygiene, 680-682. ISAH, Maastricht 2000.
92. * I. Knížková, P. Kunc, M. Koubková, Jan Flusser, O. Doležal: Responses of dairy cow body surface temperature in thermoneutral zone. Proceedings of the 10th International Congress on Animal Hygiene, 951-954. ISAH, Maastricht 2000.
93. * Filip Šroubek, Stanislava Šimberová, Jan Flusser, Tomáš Suk: Multichannel blind deconvolution of the short-exposure astronomical images. Proceedings of the 15th IAPR International Conference on Pattern Recognition, 53-56. IEEE Computer Society, Los Alamitos 2000.   Download
94. * Tomáš Suk, Jan Flusser: Convex layers: A new tool for recognition of projectively deformed point sets. Lecture Notes in Computer Science. 1689. Computer Analysis of Images and Patterns. Proceedings, 454-461. Springer, Berlin 1999.   Download
95. * Jan Flusser, Barbara Zitová, Tomáš Suk: Invariant-based registration of rotated and blurred images. IEEE 1999 International Geoscience and Remote Sensing Symposium. Proceedings, 1262-1264. IEEE Computer Society, Los Alamitos 1999.   Download
96. * Jan Flusser, Jiří Boldyš: Registration of N-D images by blur invariants. Biomedical Image Registration, 163-172. Slovenian Pattern Recognition Society, Ljubljana 1999.   Download
97. * Filip Šroubek, Jan Flusser: An overview of multichannel image restoration techniques. Week of Doctoral Students 1999, 580-585. MATFYZPRESS, Praha 1999.   Download
98. * I. Knížková, P. Kunc, M. Koubková, Jan Flusser: Thermal comfort of dairy cows in barn with open-sided construction. International Conference Trends in Agricultural Engineering, 394-395. Czech University of Agriculture, Prague 1999.   Download
99. * R. Halíř, Jan Flusser: Numerically stable direct least squares fitting of ellipses. Proceedings of the 6th International Conference in Central Europe on Computer Graphics and Visualization. WSCG '98, 125-132. CZ, Plzeň 1998.   Download
100. * Radovan Krejčí, Jan Flusser, Stanislava Šimberová: A new multichannel blind deconvolution method and its application to solar images. Proceedings of the 14th International Conference on Pattern Recognition, 1765-1767. IEEE, Los Alamitos 1998.   Download
101. * Jan Flusser: Effective boundary-based calculation of object moments. Image and Vision Computing. Proceedings, 369-374. University of Auckland, Auckland 1998.
102. * J. Kautsky, Barbara Zitová, Jan Flusser, G. Peters: Feature point detection in blurred images. Image and Vision Computing. Proceedings, 103-108. University of Auckland, Auckland 1998.
103. * Radovan Krejčí, Stanislava Šimberová, Jan Flusser: Half-blind restoration of images corrupted by atmospheric turbulence. Pattern recognition and image processing, 384-388. Technical University of Szcecin, Szcecin 1997.
104. * Tomáš Suk, Jan Flusser: Point projective and permutation invariants. Lecture Notes in Computer Science. 1296. Computer Analysis of Images and Patterns, 74-81. Springer, Berlin 1997.   Download
105. * Jan Flusser, Tomáš Suk: Selecting the best features in the case of decreasing robustness. Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, 49-54. ÚTIA AV ČR, Praha 1997.
106. * R. Halíř, Jan Flusser: Estimation of profiles of sherds of archaeological pottery. Czech Pattern Recognition Workshop '97. Proceedings, 126-130. Czech Pattern Recognition Society, Praha 1997.   Download
107. * Radovan Krejčí, Stanislava Šimberová, Jan Flusser: Half-blind restoration of images corrupted by atmospheric turbulence. Pattern Recognition and Information Processing, 384-387. WUPS, Szczecin 1997.
108. * Jan Flusser, Tomáš Suk: Invariants for recognition of degraded 1-D digital signals. International Conference on Pattern Recognition. Proceedings, 389-393. IEEE Computer Society Press, Los Alamitos 1996.   Download
109. * Tomáš Suk, Jan Flusser: Search of the correspondence between the control points for registration of the projectively deformed images. Image and Signal Processing for Remote Sensing, 28-37. SPIE, Taormina 1996.   Download
110. * Jan Flusser, Tomáš Suk, Stanislav Saic: Invariants with respect to symmetric blur. Proceedings of the 9th Scandinavian Conference on Image Analysis, 341-348. SSAB, Uppsala 1995.
111. * Tomáš Suk, Jan Flusser: The features for recognition of projectively deformed point sets. Proceedings of the IEEE International Conference on Image Processing, 348-351. IEEE, Washington 1995.   Download
112. * Tomáš Suk, Jan Flusser: The projective invariants for polygons. Lecture Notes in Computer Science. 970. Computer Analysis of Images and Patterns, 729-734. Springer, Berlin 1995.   Download
113. * Jan Flusser, Tomáš Suk, Stanislav Saic: Moment-based features for description and recognition of blurred images. Theoretical Foundations of Computer Vision, 5. , Dagstuhl 1994.
114. * Jan Flusser, Stanislav Saic, Tomáš Suk: Registration of images with affine geometric distortion by means of moment invariants. Image and Signal Processing for Remote Sensing, 843-852. SPIE, Bellingham 1994.
115. * Jan Flusser, T. Suk: Momentové invarianty pro rozpoznávání obrazců. Zborník prednášok 12. sympózia o algoritmoch. ALGORITMY '93, 65-76. Fakulta hospodárskej informatiky EU, Bratislava 1993.
116. * Jan Flusser, T. Suk: Character Recognition by Affine Moment Invariants. Lecture Notes in Computer Science. 719. Computer Analysis of Images and Patterns, 572-577. Springer, Berlin 1993.
117. * František Matúš, Jan Flusser: Picture Coding by a Finite Radon Transform. General Assembly of the International Union of Radio Science, 106. URSI, Kyoto 1993.
118. * Jan Flusser, Tomáš Suk, Stanislava Šimberová: An Experimental Study on Uniqueness of the Affine Moment Invariants. Czech Pattern Recognition Workshop '93, 119-125. Czechoslovak Pattern Recognition Society, Praha 1993.
119. * Jan Flusser: Invariant Shape Description and Measure of Object Similarity. 4th International Conference on Image Processing and its Applications, 139-142. IEE, London 1992.   Download
120. * Jan Flusser: A Fast Registration of Images with Complex Geometric Distortions. Proceedings of the 7th Scandinavian Conference on Image Analysis, 1011-1019. , Alborg 1991.
121. * Jan Flusser: Určování korespondence objektů v digitálních obrazech. Zborník prednášok 11.sympózia o algoritmoch. ALGORITMY '91, 113-115. JSMF SAV, Bratislava 1991.
122. * Jan Flusser: Determination of Object Correspondence in Digital Images. Aplikovaná optika '91, 53-57. Dům techniky ČSVTS, Praha 1991.
123. * Jan Flusser: A Feature-Based Approach to Image Matching. Computer Analysis of Images and Patterns: Proceedings of the 4th International Conference CAIP '91, 227-232. Akademie Verlag, Berlin 1991.
124. * Jan Flusser: Preprocessing of Multitemporal and Multisource Digital Images in Remote Sensing. Wissenschaftliche Konferenz Fernerkundung für die Umweltüberwachung, 12. , Potsdam 1991.
125. * Jan Flusser: Image Matching Techniques: A Survey. Proceedings of the 7th Spring School on Computer Graphics, 56. MFF UK, Bratislava 1991.
126. * Jan Flusser: Invariant Description of Planar Shapes. Eurographics '91, 37-38. Eurographics Association, Vienna 1991.
127. * Jan Flusser, Petr Vítů: Cifrovaja model' rel'jefa i jeje primenenija. -, -. 1990.
128. * Jan Flusser: Korespondence objektů na snímcích s rozdílnou geometrií. Digitální zpracování obrazu '90, 58-63. ČSVTS Tesla VÚST, Praha 1990.
129. * Jan Flusser: Registrace obrazů s nepravidelnými lokálními geometrickými distorzemi. Digitální zpracování obrazu '89, 345-356. Tesla VÚST, Praha 1989.
130. * Jan Flusser, Stanislava Šimberová: Digitální zpracování obrazů sluneční fotosféry a chromosféry. Digitální zpracování obrazu '89, 357-364. Tesla VÚST, Praha 1989.
131. * Jan Flusser: Geometrické transformace obrazových dat a jejich využití v DPZ. Cílový projekt státního plánu základního výzkumu č.602 -, 165-169. JZD Mír, Březůvky 1988.
132. * Jan Flusser: Geometrické transformace obrazu a jejich využití v DPZ. Digitální zpracování obrazu '88, 92-96. ČSVTS TESLA VÚST, Praha 1988.

Other publications (38)
1. * Filip Šroubek, Jan Flusser, Barbara Zitová: Inverse problems in image restoration: from basic principles to current deep-learning trends (TUTORIAL). International Conference on Acoustics, Speech,and Signal Processing (ICASSP 2019). IEEE, Piscataway 2019.   Download
2. * Filip Šroubek, Jan Flusser, Barbara Zitová: Restoration and Recognition of Blurred Images. IEEE, Piscataway 2018.   Download
3. * Jan Flusser, Jana Olivová: Pro lepší porozumění obrazu - rozhovor. A/Věda a výzkum 1:4 (2017), 22-25.   Download
4. * Jan Flusser, Filip Šroubek, Barbara Zitová: HANDLING BLUR (Tutorial). Proceedings of the 23rd International Conference on Pattern Recognition. IAPR, Cancun 2016.   Download
5. * Barbara Zitová, Filip Šroubek, Jan Kamenický, Jan Kotera, Michal Šorel, Michal Bartoš, Jan Flusser, Z. Šíma, P. Švarc, J. Hořínek: Forensics image and video restoration. Abstract book of 7th European Academy of Forensic Science Conference. Institute of Criminalistics Prague, Praha 2015.   Download
6. * Adam Novozámský, Jiří Sedlář, Aleš Zita, Ch. Herbst, J. G. Švec, Barbara Zitová, Jan Flusser: VKFD: Computerized Analysis of Videokymographic Data. PEVOC, 293-294. Medical Healthcom, Prague 2013.   Download
7. * Adam Novozámský, Jiří Sedlář, A. Zita, J. G. Švec, Barbara Zitová, Jan Flusser, D. Hauzar: Computer-Assisted Evaluation of Videokymographic Data. International Journal on Biomedicine and Healthcare 1:1 (2013), 49-49.   Download
8. * Jiří Sedlář, Adam Novozámský, J.G. Švec, Barbara Zitová, Jan Flusser: Measurement of Vocal Fold Features in Videokymography Images. Proc. BioImage Informatics, 53. Max Planck Institute, CBG, Dresden 2012.   Download
10. * Filip Šroubek, Jan Flusser: Superresolution and blind deconvolution of video. SIAM Conferece on Imaging Science (Abstracts), 1-1. SIAM, Philadelphia 2010.   Download
11. * A. Goshtasby, Jan Flusser, Filip Šroubek, Barbara Zitová: Tutorial: Survey and Recent Advances in Image Registration and Fusion. Abstracts Book of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 27-27. IEEE, Anchorage 2008.
12. * Jan Flusser, Barbara Zitová: Image registration by means of moment invariants. MatGeos 1st Workshop on Mathematical Geosciences, 5-5. Technische Universitat Bergakademie Freiberg, Freiberg 2008.   Download
13. * Jiří Sedlář, M. Sedlářová, Jan Flusser: Tracking the growth of phytopathogenic fungi and use of digital image processing in diagnostics. Journal of Plant Pathology, 240-240. EDIZIONI ETS, Pisa, Italy 2008.   Download
14. * Jan Flusser, Filip Šroubek, Barbara Zitová: Tutorial: Image Fusion - Principles, Methods, and Applications. Proceedings of the 15th European Signal Processing Conference, 1-2. EURASIP, Poznan 2007.
15. * Filip Šroubek, G. Cristobal, Jan Flusser: Blind Superresolution. Proceedings of COMPSTAT 2006, 294-294. Springer, Heidelberg 2006.
16. * Jan Benda, Jan Flusser: Navigation System for a Mobile Robot Based on Omni-Directional Vision. Interní publikace - DAR - ÚTIA 2006/3. ÚTIA AV ČR, Praha 2006.
17. * Filip Šroubek, Jan Flusser: Matlab Tool for Blind Superresolution version 1.0 (program). ÚTIA AV ČR, Praha 2006.
18. * Filip Šroubek, Jan Flusser, G. Cristóbal: Multiframe Blind Deconvolution Coupled with Frame Registration and Resolution Enhancement. Interní publikace - DAR - ÚTIA 2006/25. ÚTIA AV ČR, Praha 2006.
19. * Filip Šroubek, Jan Flusser, Barbara Zitová: Image Fusion: A Powerful Tool for Object Identification. Interní publikace - DAR - ÚTIA 2006/27. ÚTIA AV ČR, Praha 2006.
20. * Filip Šroubek, G. Cristóbal, Jan Flusser: A Unified Approach to Superresolution and Multichannel Blind Deconvolution. Interní publikace - DAR - ÚTIA 2006/26. ÚTIA AV ČR, Praha 2006.
21. * Tomáš Suk, Jan Flusser: Tables of Affine Moment Invariants Generated by the Graph Method. Research Report 2156. ÚTIA AV ČR, Praha 2005.   Download
22. * Barbara Zitová, Jan Flusser, Filip Šroubek: Image Registration: A Survey and Recent Advances. Interní publikace - DAR - ÚTIA 2005/13. ÚTIA AV ČR, Praha 2005.
23. * Michal Breznický, Jan Flusser: Moment Invariants in Discrete Domain. Interní publikace - DAR - ÚTIA 2005/30. ÚTIA AV ČR, Praha 2005.
24. * Barbara Zitová, Jan Flusser, Filip Šroubek: Image registration: A survey and recent advances. Tutorial. Proceedings of the 12th IEEE International Conference on Image Processing. ICIP'05, 1-2. IEEE, Los Alamitos 2005.
26. * Barbara Zitová, Jan Flusser: IMARE. Image Registration Toolbox for MATLAB. (Program). ÚTIA AV ČR, Praha 2003.   Download
27. * Barbara Zitová, Filip Šroubek, Jan Flusser: The Application of Digital Image Processing in "The Last Judgment" Mosaic Conservation. Research Report 2044. ÚTIA AV ČR, Praha 2002.
29. * Barbara Zitová, Jan Flusser, Stanislav Saic: Metody pro detekování dodatečných manipulací s digitálními obrazy. Research Report 2028. ÚTIA AV ČR, Praha 2001.
30. * Jan Flusser, Tomáš Suk: On the Calculation of Image Moments. Research Report 1946. ÚTIA AV ČR, Praha 1999.
31. * Jan Flusser, Tomáš Suk: Degraded Image Analysis: An Invariant Approach. Research Report 1900. ÚTIA AV ČR, Praha 1997.
33. * Barbara Zitová, Jan Flusser, Tomáš Suk: Recognition of Navigation Marks by Robot Vision System. Research Report 1876. ÚTIA AV ČR, Praha 1996.
34. * Jan Flusser, Tomáš Suk: Description and Recognition of Blurred Images by the Method of Blur Invariants. Research Report 1806. ÚTIA AV ČR, Praha 1994.
35. * Tomáš Suk, Jan Flusser: Point-Based Projective Invariants. Research Report 1812. ÚTIA AV ČR, Praha 1994.   Download
36. * Jan Flusser, Tomáš Suk: Rozpoznávání objektů pomocí afinních momentových invariantů. ÚTIA ČSAV, Praha 1991.
38. * Jan Flusser: Počítačové metody pro získávání kongruentních obrazů. Kandidátská disertační práce K-37. SVT ČSAV, Praha 1990.

Miscellaneous (8)
1. * M. Stratmann, J.F. Evers-Senne, M. Schmieder, Jan Flusser, Filip Šroubek: Method for preparing images in non-visible spectral ranges, and corresponding camera and measuring arrangement. 2013.   Download
2. * Jan Flusser, Filip Šroubek, Barbara Zitová: Image Fusion - principles, methods, and applications - tutorial.
3. * Jan Flusser, Filip Šroubek, Barbara Zitová: Tutorial on Image Fusion for Image and Video Quality Enhancement.