Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment

arXiv:2406.09858v1 Announce Type: new
Abstract: The visual quality of an image is confounded by a number of intertwined factors including its semantic content, distortion characteristics and appearance properties such as brightness, contrast, sharpness, and colourfulness. Distilling high level knowledge about all these quality bearing attributes is crucial for developing objective Image Quality Assessment (IQA).While existing solutions have modeled some of these aspects, a comprehensive solution that involves all these important quality related attributes has not yet been developed. In this …

abstract arxiv assessment attributes contrast cs.cv image knowledge language modeling quality semantic type vision visual