Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …

Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

In this paper, we investigate into the problem of image quality assessment (IQA) and
enhancement via machine learning. This issue has long attracted a wide range of attention …

Traditional blind image quality assessment (IQA) measures generally predict quality from a
sole distorted image directly. In this paper, we first introduce multiple pseudo reference …

Traditional full-reference image quality assessment (IQA) metrics generally predict the
quality of the distorted image by measuring its deviation from a perfect quality image called …

To enhance the visibility and usability of images captured in hazy conditions, many image
dehazing algorithms (DHAs) have been proposed. With so many image DHAs, there is a …

Recent years have witnessed a growing number of image and video centric applications on
mobile, vehicular, and cloud platforms, involving a wide variety of digital screen content …

Digital images in the real world are created by a variety of means and have diverse
properties. A photographical natural scene image (NSI) may exhibit substantially different …

Vision-based intelligent systems like automatic driving or driving assistance can be
improved by enhancing the visibility of the scenes captured in bad weather conditions. In …

Traditional in the wild image quality assessment (IQA) models are generally trained with the
quality labels of mean opinion score (MOS), while missing the rich subjective quality …