No-Reference Image Quality Assessment by Hallucinating Pristine Features. (arXiv:2108.04165v3 [eess.IV] UPDATED)

In this paper, we propose a no-reference (NR) image quality assessment (IQA)
method via feature level pseudo-reference (PR) hallucination. The proposed
quality assessment framework is grounded on the prior models of natural image
statistical behaviors and rooted in the view that the perceptually meaningful
features could be well exploited to characterize the visual quality. Herein,
the PR features from the distorted images are learned by a mutual learning
scheme with the pristine reference as the supervision, and the discriminative
characteristics …

arxiv features image quality reference