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Dark image enhancement based onpairwise target contrast and multi-scale detail boosting

机译:基于成对目标对比度和多尺度细节增强的暗图像增强

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A dark image enhancement algorithm based on the pairwise target contrast and the multi-scale detail boosting is proposed in this work. We first compute the pairwise target contrast between a pair of pixels, which represents the desired gray level difference of the two pixels in the output image. By aggregating the pairwise target contrasts for all pairs of pixels in an image, we formulate a cost function for the enhancement. By minimizing the cost function, we obtain the optimal transformation function and enhance the image. In addition, we propose a multi-scale approach to boost details in the globally enhanced image. Experimental results show that the proposed algorithm enhances the contrast and visibility of dark images more effectively than conventional algorithms.
机译:提出了一种基于成对目标对比度和多尺度细节增强的暗图像增强算法。我们首先计算一对像素之间的成对目标对比度,该对比度表示输出图像中两个像素的期望灰度级差。通过汇总图像中所有像素对的成对目标对比度,我们为增强制定了成本函数。通过最小化成本函数,我们获得了最佳的变换函数并增强了图像。此外,我们提出了一种多尺度方法来增强全局增强图像中的细节。实验结果表明,与常规算法相比,该算法能够更有效地增强暗图像的对比度和可见度。

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