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 …

Blind image quality assessment (BIQA) research aims to develop a perceptual model to
evaluate the quality of distorted images automatically and accurately without access to the …

Blind image quality assessment (BIQA) aims to develop quantitative measures to
automatically and accurately estimate perceptual image quality without any prior information …

A novel unsupervised blind image quality assessment (BIQA) method, which requires no
mean opinion scores for model training is presented in this paper. The method employs joint …

In this paper, we propose a novel no reference quality assessment method by incorporating
statistical luminance and texture features (NRLT) for screen content images (SCIs) with both …

Light field image quality assessment (LFI-QA) is a significant and challenging research
problem. It helps to better guide light field acquisition, processing and applications …

The proliferation of devices such as mobile phones, virtual reality headsets, and head-
mounted displays has increased the popularity of immersive applications that deliver …

Previously, no-reference (NR) stereoscopic 3D (S3D) image quality assessment (IQA)
algorithms have been limited to the extraction of reliable hand-crafted features based on an …

This paper presents a rotation-invariant and computationally efficient no-reference image
quality assessment (NR-IQA) model. It estimates the image quality based on texture and …

As a fundamental research problem, blind image quality assessment (BIQA) has attracted
increasing interest in recent years. Although great progress has been made, BIQA still …