1 code implementation • 19 Apr 2022 • Guojia Hou, YuXuan Li, Huan Yang, Kunqian Li, Zhenkuan Pan
Achieving subjective and objective quality assessment of underwater images is of high significance in underwater visual perception and image/video processing.
no code implementations • 8 Jan 2022 • Qi Qi, Kunqian Li, Haiyong Zheng, Xiang Gao, Guojia Hou, Kun Sun
In this paper, we propose a novel underwater image enhancement network, called SGUIE-Net, in which we introduce semantic information as high-level guidance across different images that share common semantic regions.
no code implementations • 2 Apr 2021 • Xinjie Li, Guojia Hou, Kunqian Li, Zhenkuan Pan
To address these visual degradations, we propose a novel scheme by constructing an adaptive color and contrast enhancement, and denoising (ACCE-D) framework for underwater image enhancement.