3 papers
cs.CV2024
Multi-scale Frequency Enhancement Network for Blind Image Deblurring
Yawen Xiang, Heng Zhou, Chengyang Li +2
Image deblurring is an essential image preprocessing technique, aiming to recover clear and detailed images form blurry ones. However, existing algorithms often fail to effectively…
cs.CV2024
Deep learning in motion deblurring: current status, benchmarks and future prospects
Yawen Xiang, Heng Zhou, Chengyang Li +3
Motion deblurring is one of the fundamental problems of computer vision and has received continuous attention. The variability in blur, both within and across images, imposes limit…
cs.CV2023
You Do Not Need Additional Priors in Camouflage Object Detection
Yuchen Dong, Heng Zhou, Chengyang Li +3
Camouflage object detection (COD) poses a significant challenge due to the high resemblance between camouflaged objects and their surroundings. Although current deep learning metho…