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 …

Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …

Numerous single image super-resolution (SISR) algorithms have been proposed during the
past years to reconstruct a high-resolution (HR) image from its low-resolution (LR) …

In this paper we propose a new no-reference (NR) image quality assessment (IQA) metric
using the recently revealed free-energy-based brain theory and classical human visual …

The general purpose of seeing a picture is to attain information as much as possible. With it,
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …

Proper contrast change can improve the perceptual quality of most images, but it has largely
been overlooked in the current research of image quality assessment (IQA). To fill this void …

In this paper, we propose a new no-reference (NR)/blind sharpness metric in the
autoregressive (AR) parameter space. Our model is established via the analysis of AR …

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 …

Blind image quality assessment (BIQA) is a useful but challenging task. It is a promising idea
to design BIQA methods by mimicking the working mechanism of human visual system …

With the widespread adoption of multidevice communication, such as telecommuting, screen
content images (SCIs) have become more closely and frequently related to our daily lives …