1k citations · 3.1k across the 35 of their papers we have counts for
5 papers · 1 filter
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement
Dehuan Zhang, Jingchun Zhou, ChunLe Guo +2
Visually restoring underwater scenes primarily involves mitigating interference from underwater media. Existing methods ignore the inherent scale-related characteristics in underwa…
AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection
Jingchun Zhou, Zongxin He, Kin-Man Lam +4
In this paper, we present a novel Amplitude-Modulated Stochastic Perturbation and Vortex Convolutional Network, AMSP-UOD, designed for underwater object detection. AMSP-UOD specifi…
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-Discriminators
Runmin Cong, Wenyu Yang, Wei Zhang +4
Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and…
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Yuhui Wu, Chen Pan, Guoqing Wang +4
Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global…
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
Yuekun Dai, Yihang Luo, Shangchen Zhou +2
Reflective flare is a phenomenon that occurs when light reflects inside lenses, causing bright spots or a "ghosting effect" in photos, which can impact their quality. Eliminating r…