Xiongkuo Min

TL;DR: Comparative studies on five large IQA databases show that the proposed BPRI model is comparable to the state-of-the-art opinion-aware- and OU-BIQA models, and not only performs well on natural scene images, but also is applicable to screen content images.

TL;DR: This paper introduces multiple pseudo reference images (MPRIs) by further degrading the distorted image in several ways and to certain degrees, and then compares the similarities between the distorted images and the MPRIs, and uses the full-reference IQA framework to compute the quality.

TL;DR: A new perceptual image quality assessment (IQA) metric based on the human visual system (HVS) is proposed that performs efficiently with convolution operations at multiscales, gradient magnitude, and color information similarity, and a perceptual-based pooling.

TL;DR: A unified content-type adaptive (UCA) blind image quality assessment model that is applicable across content types and leads to superior performance on the constructed CCT database, and is training-free, implying strong generalizability.

TL;DR: A DHA quality evaluation method is proposed by integrating some dehazing-relevant features, including image structure recovering, color rendition, and over-enhancement of low-contrast areas, which works for both types of images, but is further improved for aerial images by incorporating its specific characteristics.