Image Quality Assessment Using Contrastive Learning

We consider the problem of obtaining image quality representations in a self-supervised manner. We use prediction of distortion type and degree as an auxiliary task to learn features from an unlabeled image dataset containing a mixture of synthetic and realistic distortions. We then train a deep Con...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 14., Seite 4149-4161
1. Verfasser:	Madhusudana, Pavan C (VerfasserIn)
Weitere Verfasser:	Birkbeck, Neil, Wang, Yilin, Adsumilli, Balu, Bovik, Alan C
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article