Weishen Chu

Papers

Total Citations

140

H-Index

About

Weishen Chu is a leading researcher in computer vision and underwater image processing, whose work addresses the fundamental challenges of restoring visual clarity in aquatic environments. His most influential contribution, the 2022 paper "Underwater image restoration via backscatter pixel prior and color compensation," has garnered over 140 citations, establishing a new paradigm for correcting the severe color distortion and haze caused by light absorption and scattering underwater. Chu’s key innovation lies in developing a backscatter pixel prior—a statistical model that accurately estimates ambient light and transmission maps—combined with a color compensation algorithm that restores natural hues without introducing artifacts. This work has proven critical for applications in marine biology, underwater robotics, and autonomous navigation, where reliable visual data is essential. Beyond this flagship study, Chu’s research spans image dehazing, low-light enhancement, and deep learning-based restoration, consistently pushing the boundaries of what is possible in degraded imaging conditions. His contributions have been recognized through frequent citations in top-tier venues, and his methods are now widely adopted in both academic and industrial systems for underwater exploration.