Motivated by the problems of non-universality and over-reliance on original reference image in High dynamic range (HDR) Image quality assessment (IQA), a convolutional neural network-based algorithm for no-reference HDR is proposed. The Salience detection self-resemblance (SDSR) which extracts salient regions image, used to simulate human visual attention mechanism. Then perception network trai...

Underwater image enhancement plays a critical role in marine industry. Various algorithms are applied to enhance underwater images, but their performance terms of perceptual quality has been little studied. In this paper, we investigate five popular and output quality. To end, have created benchmark, including images enhanced by different ground truth obtained human perception experiments. We s...

Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial resolution of images. Quality evaluation metrics play a critical role in comparing and optimizing SR algorithms, but current achieve only limited success, largely due to lack large-scale databases, which are essential for learning accurate robust metrics. In this work, we first build image database using nove...