Scene statistics of authentically distorted images in perceptually relevant color spaces for blind image quality assessment

ICIP, pp. 3851-3855, 2015.

Cited by: 6|Views12


Current top-performing blind image quality assessment (IQA) models rely on benchmark databases comprising of singly distorted images, thereby learning image features that are only adequate to predict human perceived visual quality on such inauthentic distortions. Furthermore, the underlying image features of these models are often extract...More



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