Underwater Image Enhancement Using Adaptive Retinal Mechanisms
Underwater Image Enhancement Using Adaptive Retinal Mechanisms
复制标题
使用自适应视网膜机制增强水下图像
DOI：
10.1109/tip.2019.2919947
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发表时间：
2019-11-01
影响因子：
10.6
通讯作者：
Li, Yong-Jie
中科院分区：
文献类型：
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作者：
Gao, Shao-Bing;Zhang, Ming;Li, Yong-Jie
我们提出了一个水下图像增强模型的启发硬骨鱼视网膜的形态和功能。我们的目标是解决水下图像的模糊和不均匀的颜色偏置所带来的退化问题。特别地，从颜色敏感的水平细胞到视锥的反馈和红色通道补偿被用于校正非均匀的颜色偏差。双极细胞的中心-环绕对立机制以及无长突细胞到网间细胞再到水平细胞的反馈有助于增强输出图像的边缘和对比度。具有颜色对抗机制的神经节细胞用于颜色增强和颜色校正。最后，我们采用一种基于亮度的融合策略，从鱼视网膜的ON和OFF通路的输出重建增强图像。我们的模型利用全局统计（即，图像对比度）自动指导各低层滤波器的设计，实现了主要参数的自适应。对各种水下场景进行了广泛的定性和定量评估，验证了我们的技术的竞争力。我们的模型也显着提高了使用水下图像的透射图估计和局部特征点匹配的准确性。我们的方法是一个单一的图像方法，不需要专门的水下条件或场景结构的先验。
We propose an underwater image enhancement model inspired by the morphology and function of the teleost fish retina. We aim to solve the problems of underwater image degradation raised by the blurring and nonuniform color biasing. In particular, the feedback from color-sensitive horizontal cells to cones and a red channel compensation are used to correct the nonuniform color bias. The center-surround opponent mechanism of the bipolar cells and the feedback from amacrine cells to interplexiform cells then to horizontal cells serve to enhance the edges and contrasts of the output image. The ganglion cells with color-opponent mechanism are used for color enhancement and color correction. Finally, we adopt a luminance-based fusion strategy to reconstruct the enhanced image from the outputs of ON and OFF pathways of fish retina. Our model utilizes the global statistics (i.e., image contrast) to automatically guide the design of each low-level filter, which realizes the self-adaption of the main parameters. Extensive qualitative and quantitative evaluations on various underwater scenes validate the competitive performance of our technique. Our model also significantly improves the accuracy of transmission map estimation and local feature point matching using the underwater image. Our method is a single image approach that does not require the specialized prior about the underwater condition or scene structure.