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 …

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 …

Abstract Generative Artificial Intelligence (AI) models like DALL· E 2 can interpret prompts
and generate high-quality images that exhibit human creativity. Though public enthusiasm is …

Massive content composed of both natural scene and screen content has been generated
with the increasing use of wireless computing and cloud computing, which call for general …

This paper discusses the influence of dynamic images and traditional static images on user
perception in web interface visualizations of products. First, thirty graduate students in …

The focus of this article is to analyze and predict the visual attention of children with Autism
Spectrum Disorder (ASD) when looking at human faces. Social difficulties are the hallmark …

Purpose The study aims to evaluate the effect of inducing emotions (neutral, joy and fear) on
the level of visual attention in beer advertisements. Design/methodology/approach A …