Blind/Referenceless Image Spatial Quality Evaluator

By Anish Mittal, Anush K. Moorthy, A. Bovik. Asilomar Conference on Signals, Systems and Computers, 2011

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Learning without Human Scores for Blind Image Quality Assessment (2013, methodology): “The current blind image quality assessment (BIQA) methods can be classified into two categories: distortion specific methods [1,8,9,18,25] and distortion independent methods [4,10,13,14,16,17,21,27].”
Objective quality assessment of multiply distorted images (2012, methodology): “This was taken as evidence that the scores from the two parts of the study could be combined for analysis without the need for realignment as in [9]”
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (2021, methodology): “With perceptual loss and GAN loss (i.e., HCFlow++), the perceptual metrics are further improved by significant margins in terms of LPIPS and BRISQUE, which is confirmed by the visual results.”