Perceptual quality prediction on authentically distorted images using a bag of features approach
نویسندگان
چکیده
منابع مشابه
Perceptual quality prediction on authentically distorted images using a bag of features approach
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, real-world images usually contain complex composite mixt...
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Current blind image quality prediction models rely on benchmark databases comprised of singly and synthetically distorted images, thereby learning image features that are only adequate to predict human perceived visual quality on such inauthentic distortions. However, real world images often contain complex mixtures of multiple distortions. Rather than a) discounting the effect of these mixture...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2017
ISSN: 1534-7362
DOI: 10.1167/17.1.32