How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional Sparse Coding for Quality Assessment of Synthesized Views - Archive ouverte HAL
Communication Dans Un Congrès Année : 2018

How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional Sparse Coding for Quality Assessment of Synthesized Views

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Traitement des images [eess.IV]

Patrick Le Callet  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-01970888

Soumis le : dimanche 6 janvier 2019-11:39:37

Dernière modification le : lundi 2 septembre 2024-11:40:55

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hal-01970888 , version 1 (06-01-2019)

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Suiyi Ling, Patrick Le Callet. How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional Sparse Coding for Quality Assessment of Synthesized Views. 25th IEEE International Conference on Image Processing (ICIP), 2018, Athenes, Greece. ⟨10.1109/icip.2018.8451151⟩. ⟨hal-01970888⟩

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