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Underwater Image Color Correction Algorithm based on Scattering Statistical Characteristics

机译:基于散射统计特征的水下图像颜色校正算法

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摘要

Different wavelengths of light have different attenuation during underwater transmission, and the attenuation of thesame wavelength of light is also inconsistent in various waters. This loss of spectral information causes varying degreesof color distortion in underwater images. In this paper, a novel underwater color correction algorithm based on scatteringstatistics characteristics is proposed. The algorithm is based on a fact that scattering exists in both atmosphere andunderwater. Firstly, we statistically analyze three kinds of images and summarize scattering characteristics. Secondly, anovel spectral compensation strategy is proposed to correct color distortion according to scattering characteristics.Finally, compared with the existing underwater image processing algorithms, there are better subjective and objectiveindicators. The algorithm is robust for a mass of real underwater images.
机译:在水下传输期间,不同波长的光具有不同的衰减,以及衰减在各种水域中,相同波长的光也不一致。这种光谱信息的损失会导致不同程度的变化水下图像中的彩色畸变。本文基于散射的新型水下色校正算法提出统计特征。该算法基于散射在两种大气中存在的事实水下。首先,我们在统计上分析三种图像并总结散射特性。其次,A.提出了一种新的光谱补偿策略,以根据散射特性校正颜色失真。最后,与现有的水下图像处理算法相比,有更好的主观和目标指标。该算法对于大量的真实水下图像是强大的。

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