Noising in X-ray imaging has been one of the biggest challenges that leads to insufficient
and improper diagnosis. Despite the fact that X-rays are one of the most widespread and …

Conventional video compression (VC) methods are based on motion compensated
transform coding, and the steps of motion estimation, mode and quantization parameter …

The goal of video motion magnification techniques is to magnify small motions in a video to
reveal previously invisible or unseen movement. Its uses extend from bio-medical …

Recent advances in deep learning have transformed data-driven geoscientific analysis. In
particular, the adoption of attention mechanism in deep learning has received considerable …

The lack of ability to adapt the motion compensation model to video content is an important
limitation of current end-to-end learned video compression models. This paper advances the …

The rise in video streaming applications has increased the demand for video quality
assessment (VQA). In 2016, Netflix introduced Video Multi-Method Assessment Fusion …

Abstract 3D volume rendering is widely used to reveal insightful intrinsic patterns of
volumetric datasets across many domains. However, the complex structures and varying …

We propose a quality control method that replaces rate control in video coding and achieves
quality control with the minimum bit rate. First, based on the rate–distortion model, we …

The phased array ultrasonic technique (PAUT) with full matrix capture (FMC) exhibits the
advantages of high imaging accuracy and great defect characterization ability, which play …

This article describes an empirical exploration on the effect of information loss affecting
compressed representations of dynamic point clouds on the subjective quality of the …