With the increasing maturity of the text-to-image and image-to-image generative models, AI-
generated images (AGIs) have shown great application potential in advertisement …

Image super-resolution (SR) has been extensively investigated in recent years. However,
due to the absence of trustworthy and precise perceptual quality standards, it is challenging …

Blind image quality assessment (BIQA) targets predict the perceptual quality of an image
without any reference information. However, known methods have considerable room for …

Methods of image quality assessment are widely used for ranking computer vision
algorithms or controlling the perceptual quality of video and streaming applications. The …

No-reference image quality assessment (IQA) is a critical step in medical image analysis,
with the objective of predicting perceptual image quality without the need for a pristine …

This paper presents a novel No-Reference Video Quality Assessment (NR-VQA) model that
utilizes proposed 3D steerable wavelet transform-based Natural Video Statistics (NVS) …

Intensified climate change in recent years has had a global impact, leading to increased
precipitation events of short duration and high intensity. This phenomenon poses a severe …

The accuracy of MRI-based diagnosis can be degraded by artifacts, a challenging problem
for both radiologists and automated computer-aided systems. Assessment of MR images …

Compared with the widely used supervised blind image quality assessment (BIQA) models,
unsupervised BIQA models require little prior knowledge for calculating the objective quality …

Image quality assessment of CT scans is of utmost importance in balancing radiation dose
and image quality. Nonetheless, estimating the image quality of CT scans is a highly …