Publication details

Texture fidelity criterion

Conference Paper (international conference)

Kudělka Miloš, Haindl Michal

serial: Proceedings of the 2016 IEEE International Conference on Image Processing

action: 2016 IEEE International Conference on Image Processing (ICIP), (Phoenix, AZ, US, 25.09.2016-28.09.2016)

project(s): GA14-10911S, GA ČR

keywords: Image texture, texture fidelity, visual quality criterion, Markovian texture model

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abstract (eng):

Visual texture fidelity evaluation is important but still unsolved problem. Evaluation of how well various texture models conform with human visual perception of their original measured pattern is required not only for assessing the visual dissimilarities between a model output and the original measured texture, but also for optimal settings of model parameters, for fair comparison of distinct models, or visual scene understanding. We propose a novel texture fidelity criterion based on the fully multi-spectral generative underlying Markovian texture model, which correlates well with human texture quality ranking verified on the texture fidelity benchmark.