Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts

arXiv:2405.02208v1 Announce Type: cross
Abstract: Image Quality Assessment (IQA) is essential in various Computer Vision tasks such as image deblurring and super-resolution. However, most IQA methods require reference images, which are not always available. While there are some reference-free IQA metrics, they have limitations in simulating human perception and discerning subtle image quality variations. We hypothesize that the JPEG quality factor is representatives of image quality measurement, and a well-trained neural network can learn to accurately evaluate image quality without …

abstract arxiv assessment computer computer vision cs.cv eess.iv free however human image images limitations metrics perception quality reference resolution tasks type vision while