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20212024
most citedSGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception

277 citations · 284 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 3 cited

Dual High-Order Total Variation Model for Underwater Image Restoration

Yuemei Li, Guojia Hou, Peixian Zhuang +1

Underwater images are typically characterized by color cast, haze, blurring, and uneven illumination due to the selective absorption and scattering when light propagates through th…

cs.CV2024★ 1 cited

WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth Estimation

Yilin Ding, Kunqian Li, Han Mei +2

Depth information serves as a crucial prerequisite for various visual tasks, whether on land or underwater. Recently, self-supervised methods have achieved remarkable performance o…

cs.CV2022★ 3 cited

UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment Metrics

Guojia Hou, Yuxuan Li, Huan Yang +2

Achieving subjective and objective quality assessment of underwater images is of high significance in underwater visual perception and image/video processing. However, the developm…

eess.IV2022★ 277 cited

SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception

Qi Qi, Kunqian Li, Haiyong Zheng +3

Due to the wavelength-dependent light attenuation, refraction and scattering, underwater images usually suffer from color distortion and blurred details. However, due to the limite…

cs.CV2021

Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising

Xinjie Li, Guojia Hou, Kunqian Li +1

Images captured underwater are often characterized by low contrast, color distortion, and noise. To address these visual degradations, we propose a novel scheme by constructing an…