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 restoration is a challenging ill-posed problem which also has been a long-standing
issue. In the past few years, the convolution neural networks (CNNs) almost dominated the …

Low-Light Image Enhancement is a computer vision task which intensifies the dark images
to appropriate brightness. It can also be seen as an illposed problem in image restoration …

In this paper, an accurate full-reference image quality assessment (IQA) model developed
for assessing screen content images (SCIs), called the edge similarity (ESIM), is proposed. It …

Recently, the visual quality evaluation of screen content images (SCIs) has become an
important and timely emerging research theme. This article presents an effective and novel …

In this paper, we propose a novel framework for underwater image saliency detection by
exploiting Quaternionic Distance Based Weber Descriptor (QDWD), pattern distinctness, and …

Although large multi-modality models (LMMs) have seen extensive exploration and
application in various quality assessment studies, their integration into Point Cloud Quality …

A no-reference (NR) learning-based approach to assess image quality is presented in this
paper. The devised features are extracted from wide perceptual domains, including …

Develo** an automatic age estimation method toward human faces continues to possess
an important role in computer vision and pattern recognition. Many studies regarding facial …

Image restoration is a low-level vision task which is to restore degraded images to noise-free
images. With the success of deep neural networks, the convolutional neural networks …