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A retinex-based enhancing approach for single underwater image

机译:一种基于Retinex的单水下图像增强方法

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Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging. In this paper, a novel retinex-based enhancing approach is proposed to enhance single underwater image. The proposed approach has mainly three steps to solve the problems mentioned above. First, a simple but effective color correction strategy is adopted to address the color distortion. Second, a variational framework for retinex is proposed to decompose the reflectance and the illumination, which represent the detail and brightness respectively, from single underwater image. An effective alternating direction optimization strategy is adopted to solve the proposed model. Third, the reflectance and the illumination are enhanced by different strategies to address the under-exposure and fuzz problem. The final enhanced image is obtained by combining use the enhanced reflectance and illumination. The enhanced result is improved by color correction, lightens dark regions, naturalness preservation, and well enhanced edges and details. Moreover, the proposed approach is a general method that can enhance other kinds of degraded image, such as sandstorm image.
机译:由于在在水中行驶时光被吸收和散射,因此彩色变形,暴露和模糊是水下成像的三个主要问题。本文提出了一种基于新型的基于Retinex的增强方法来增强单个水下图像。该方法主要有三个步骤来解决上述问题。首先,采用简单但有效的色彩校正策略来解决颜色失真。其次,提出了一种视网膜的变分框架,以分解反射率和照明,该反射率和照明分别从单个水下图像分别表示细节和亮度。采用有效的交替方向优化策略来解决所提出的模型。第三,通过不同的策略增强了反射率和照明,以解决暴露的暴露和模糊问题。通过组合使用增强的反射率和照明来获得最终增强图像。通过颜色校正提高了增强的结果,减轻了暗区,自然保护,以及良好的增强边缘和细节。此外,所提出的方法是一种可以增强其他种类的降级图像的一般方法,例如沙尘暴图像。

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