Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach

JOURNAL OF VISION, pp. 32-32, 2017.

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Abstract:

Current top-performing blind perceptual image quality prediction models are generally trained on legacy databases of human quality opinion scores on synthetically distorted images. Therefore, they learn image features that effectively predict human visual quality judgments of inauthentic and usually isolated (single) distortions. However,...More

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