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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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 28., Seite 4044-4059
1. Verfasser:	Liao, Xingran (VerfasserIn)
Weitere Verfasser:	Wei, Xuekai, Zhou, Mingliang, Li, Zhengguo, Kwong, Sam
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article