Video quality assessment (VQA) is an important problem in computer vision. The videos in
computer vision applications are usually captured in the wild. We focus on automatically …

Abstract No-Reference Image Quality Assessment (NR-IQA) methods based on Vision
Transformer have recently drawn much attention for their superior performance …

A whole slide imaging (WSI) scanner scans pathological-specimens to produce digital
images for monitor-based diagnosis and analysis. However, the image quality is sometimes …

Recent years have witnessed the great success of blind image quality assessment (BIQA) in
various task-specific scenarios, which present invariable distortion types and evaluation …

Water | Free Full-Text | Block-Greedy and CNN Based Underwater Image Dehazing for Novel
Depth Estimation and Optimal Ambient Light Next Article in Journal Evaluating the Landslide …

Estimated vital signs might include a variety of measurements that can be used in detecting
any abnormal conditions by analyzing facial images from continuous monitoring with a …

As multimedia data flourishes on the Internet, quality assessment (QA) of multimedia data
becomes paramount for digital media applications. Since multimedia data includes multiple …

Despite the impressive progress of supervised methods in quality assessment for in-the-wild
videos, models trained on one domain often fail to generalize well to others due to the …

Assessing the quality of images is a challenging task. To achieve this goal, images must be
evaluated by a pool of subjects following a well-defined protocol or an objective quality …

Blind image quality assessment (BIQA) of authentically distorted images is a challenging
problem due to the lack of a reference image and the coexistence of blends of distortions …