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UIF: An Objective Quality Assessment for Underwater Image Enhancement. (arXiv:2205.09392v1 [cs.CV])
May 20, 2022, 1:10 a.m. | Yannan Zheng, Weiling Chen, Rongfu Lin, Tiesong Zhao
cs.CV updates on arXiv.org arxiv.org
Due to complex and volatile lighting environment, underwater imaging can be
readily impaired by light scattering, warping, and noises. To improve the
visual quality, Underwater Image Enhancement (UIE) techniques have been widely
studied. Recent efforts have also been contributed to evaluate and compare the
UIE performances with subjective and objective methods. However, the subjective
evaluation is time-consuming and uneconomic for all images, while existing
objective methods have limited capabilities for the newly-developed UIE
approaches based on deep learning. To fill …
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