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A partial differential equation algorithm for image enhancement

机译:用于图像增强的偏微分方程算法

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摘要

A novel approach for image enhancement is presented in this paper. The enhancement result is achieved by combination the means of contrast enhancement, image smoothing and image sharpening techniques into one partial differential equation (PDE) framework. In the image evolution process, three kinds of operation execute at the same time, using the regularization parameters to adjust the proportion of each operation in the evolution process, ultimately achieve the desired results. The simulations for both gray and color images are given in the experiments. Experimental results demonstrate that the method substantially improves the subjective quality of the enhanced images.
机译:本文提出了一种新颖的图像增强方法。通过将对比度增强,图像平滑和图像锐化技术组合成一个偏微分方程(PDE)框架,可以达到增强效果。在图像演化过程中,三种操作同时执行,使用正则化参数调整每种操作在演化过程中的比例,最终达到预期效果。实验中给出了灰色和彩色图像的仿真。实验结果表明,该方法大大提高了增强图像的主观质量。

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