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Locally Adaptive Color Correction for Underwater Image Dehazing and Matching

机译：水下图像去吸附和匹配的本地自适应颜色校正

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摘要

Underwater images are known to be strongly deteriorated by a combination of wavelength-dependent light attenuation and scattering. This results in complex color casts that depend both on the scene depth map and on the light spectrum. Color transfer, which is a technique of choice to counterbalance color casts, assumes stationary casts, defined by global parameters, and is therefore not directly applicable to the locally variable color casts encountered in underwater scenarios. To fill this gap, this paper introduces an original fusion-based strategy to exploit color transfer while tuning the color correction locally, as a function of the light attenuation level estimated from the red channel. The Dark Channel Prior (DCP) is then used to restore the color compensated image, by inverting the simplified Koschmieder light transmission model, as for outdoor dehazing. Our technique enhances image contrast in a quite effective manner and also supports accurate transmission map estimation. Our extensive experiments also show that our color correction strongly improves the effectiveness of local keypoints matching.
机译：已知水下图像通过波长依赖性光衰减和散射的组合而强烈劣化。这导致复杂的颜色铸件，其依赖于场景深度图和光谱。颜色传输，即抵抗彩色铸造的选择技术，假设由全局参数定义的静止铸造，因此不可直接适用于在水下方案中遇到的局部可变颜色铸件。为了填补这一差距，本文介绍了一种基于融合的策略来利用颜色转移，同时在本地调整颜色校正，作为从红色通道估计的光衰减水平的函数。然后，通过将简化的KOSCHMIEDER光传输模型反转，作为户外脱水，将暗信道（DCP）用于恢复颜色补偿图像。我们的技术以相当有效的方式增强了图像对比度，并且还支持准确的传输地图估计。我们广泛的实验还表明，我们的色彩校正强大地提高了本地关键点匹配的有效性。

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