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Single image visibility enhancement in gradient domain

机译:梯度域中单个图像可见性的增强

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摘要

This study proposes a novel algorithm for visibility enhancement from a single degraded image in the gradient domain. The algorithm is based on the fact that the smaller the transmission value, the larger the coefficient multiplied by the gradient to enhance the visibility. A multi-scale method is employed to highly restore the visibility in regions with very small transmission and maintain the contrast in close-range regions. Experimental results show that the algorithm can effectively enhance the visibility from a degraded image even in very low-contrast regions, and avoid the halo effect.
机译:这项研究提出了一种新的算法,用于提高梯度域中单个退化图像的可见性。该算法基于以下事实:透射率值越小,系数乘以梯度越大,以增强可见性。采用多尺度方法可以在透射率非常小的区域中高度恢复可见性,并在近距离区域中保持对比度。实验结果表明,该算法即使在对比度很低的区域,也可以有效地提高退化图像的可见度,并避免光晕效应。

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