Image Quality Assessment : Measuring Perceptual Degradation via Distribution Measures in Deep Feature Spaces

This study aims to develop advanced and training-free full-reference image quality assessment (FR-IQA) models based on deep neural networks. Specifically, we investigate measures that allow us to perceptually compare deep network features and reveal their underlying factors. We find that distributio...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 28., Seite 4044-4059
Auteur principal:	Liao, Xingran (Auteur)
Autres auteurs:	Wei, Xuekai, Zhou, Mingliang, Li, Zhengguo, Kwong, Sam
Format:	Article en ligne
Langue:	English
Publié:	2024
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article