Spatiotemporal traffic data is vitally important in intelligent transportation systems, but traffic
data values are inevitably missing due to malfunctions in sensing devices or transmission …

In the rapidly evolving automobile industry, the safety and quality of individual vehicle
components have gained paramount importance. Among these, aluminum wheels are …

We propose an end-to-end unpaired learning approach to screen-shot image demoiréing
based on cyclic moiré learning. The proposed cyclic moiré learning algorithm consists of the …

In digital imaging, Moiré patterns pose a significant challenge, appearing as rainbow-
colored, warped grid patterns. These artifacts emerge when two overlapping patterns create …

Removing moiré patterns is a challenging task as it is a spatially varying degradation that
varies in shape, color and scale. Existing image restoration models often rely on static …

In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray
scatter. We investigate a new stationary grid artifact suppression method based on a …

Image demoiréing is an important image processing technology in computer vision, used to
remove the moiré from images and improve the image quality. In recent years, the image …

Mastering spatial frequency manipulation within momentum space is pivotal yet challenging,
particularly in mitigating moiré patterns that significantly impair image quality across diverse …