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 …

The difficulty of no-reference image quality assessment (NR IQA) often lies in the lack of
knowledge about the distortion in the image, which makes quality assessment blind and …

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 …

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 …

Blur is a key determinant in the perception of image quality. Generally, blur causes spread of
edges, which leads to shape changes in images. Discrete orthogonal moments have been …

Image restoration is the process of restoring latent clear images from degraded images, and
it has received substantial attention in various restoration scenarios recently. Contrary to the …

Recent advances in sparse representation show that overcomplete dictionaries learned from
natural images can capture high-level features for image analysis. Since atoms in the …

With the quick development and popularity of computers, computer-generated signals have
drastically invaded into our daily lives. Screen content image is a typical example, since it …

We in this paper investigate how to blindly predict the visual quality of a screen content
image (SCI). With the popularity of multi-client and remote-controlling systems, SCIs and the …

Gradients are commonly used in image sharpness assessment methods. However, research
has not fully addressed the direct relationship between gradients and the perceived …