AMqF is a learned full-reference image quality metric that adaptively decomposes deep features into luminance, contrast, and structure components, encodes them via a learned dictionary of visual words, and scores quality by cosine similarity of dictionary responses.
Deep neural net- works for no-reference and full-reference image quality as- sessment
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Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space
AMqF is a learned full-reference image quality metric that adaptively decomposes deep features into luminance, contrast, and structure components, encodes them via a learned dictionary of visual words, and scores quality by cosine similarity of dictionary responses.