Perceptual video quality assessment plays a vital role in the field of video processing due to
the existence of quality degradations introduced in various stages of video signal …

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 …

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 …

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 …

We propose an end-to-end saliency-guided deep neural network (SGDNet) for no-reference
image quality assessment (NR-IQA). Our SGDNet is built on an end-to-end multi-task …

Omnidirectional images and videos can provide immersive experience of real-world scenes
in Virtual Reality (VR) environment. We present a perceptual omnidirectional image quality …

Estimating salient areas of visual stimuli which are liable to attract viewers' visual attention is
a challenging task because of the high complexity of cognitive behaviors in the brain. Many …