Abstract The attenuation (sum of absorption and scattering), which caused by the dense and non-uniform medium, generally leads to problems of color degradation and detail loss in underwater imaging. To address these problems, we propose a systematic underwater image enhancement method, which includes an attenuation map guided underwater image color correction approach and a detail preserved dehazing approach. The color correction approach fully considers the main causes of color degradation in underwater imaging, namely wavelength-dependent attenuation of different colors. According to the attenuation map of each color channel, a piece-wise linear transform is used to process the information of each color channel. Then, the detail preserved dehazing approach based on multi-scale decomposition is proposed to compensate for the lost details while eliminating the effects of haze. Especially, an adaptive Maximum Intensity Prior (MIP) measurement based on maximum attenuation identification is proposed to estimate transmission of the medium. Experiments on a variety types of degraded underwater images have proven that our proposed method can produce accurate results with vivid color and fine details, even better than other state-of-the-art underwater image dehazing methods.

中文翻译：

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通过衰减图引导颜色校正和细节保留去雾增强单个水下图像

摘要 介质密集且不均匀引起的衰减（吸收和散射的总和）通常会导致水下成像中出现颜色退化和细节丢失等问题。为了解决这些问题，我们提出了一种系统的水下图像增强方法，其中包括衰减图引导的水下图像色彩校正方法和保留细节的去雾方法。颜色校正方法充分考虑了水下成像颜色退化的主要原因，即不同颜色的波长相关衰减。根据每个颜色通道的衰减图，采用分段线性变换对每个颜色通道的信息进行处理。然后，提出了基于多尺度分解的细节保留去雾方法来补偿丢失的细节，同时消除雾霾的影响。特别地，提出了基于最大衰减识别的自适应最大强度先验（MIP）测量来估计介质的传输。对各种退化水下图像的实验证明，我们提出的方法可以产生色彩鲜艳、细节精细的准确结果，甚至优于其他最先进的水下图像去雾方法。