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Underwater image restoration based on contrast enhancement

机译:基于对比度增强的水下图像恢复

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摘要

Low contrast and color distortion are two major problems suffered by underwater images. In this work, a novel and systematic enhancement method based on contrast enhancement is proposed to restore the degraded underwater images. The proposed method mainly contains three steps. First, the quadtree subdivision strategy is adopted to estimate the waterlight. Then we formulate a cost function and minimize it so as to find the optimal transmission map which is able to maximize the image contrast. Once the waterlight and transmission map are obtained, based on the underwater image degradation model, the backscattering effect and color distortion caused by the light attenuation along the underwater object-camera path can be corrected. Finally, to further compensate for the color loss along the surface-object propagation path, a simple but effective color correction method is applied. Experimental results demonstrate that our proposed method can achieve comparable or even better results than some state-of-the-art approaches.
机译:低对比度和色彩失真是水下图像遭受的两个主要问题。在这项工作中,提出了一种基于对比度增强的新颖而系统的增强方法,以恢复退化的水下图像。所提出的方法主要包括三个步骤。首先,采用四叉树细分策略来估计水光。然后,我们制定成本函数并将其最小化,以找到能够最大化图像对比度的最佳透射图。一旦获得了水光和透射图,基于水下图像退化模型,就可以校正由于沿水下物体-相机路径的光衰减而导致的反向散射效果和颜色失真。最后,为了进一步补偿沿着表面物体传播路径的颜色损失,使用了一种简单但有效的颜色校正方法。实验结果表明,我们提出的方法可以比某些最新方法达到可比甚至更好的结果。

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