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Conference Paper (international conference)

Texture Quality Criteria Comparison

Haindl Michal, Shaih N.

: Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023), 7101

: IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023 /48./, (Rhodes, GR, 20230604)

: GA19-12340S, GA ČR

: Texture quality criteria, Spearman correlation, Human quality ranking, Texture quality benchmark

: 10.1109/ICASSPW59220.2023.10193606

: http://library.utia.cas.cz/separaty/2023/RO/haindl-0574371.pdf

(eng): Visual scene recognition or modeling predominantly uses visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present a comparative study of thirteen possible texture quality criteria and show the superior performance of two multispectral measures derived from the Markovian descriptive model.

: IN

: 20205