一种用于直方图均衡化的子图像边缘保持方法

Yan-Tsung Peng, Bing-Chuan Tsai, S. Ruan
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引用次数: 2

摘要

直方图均衡化(HE)被广泛应用于图像对比度增强。它基本上均衡了图像直方图,以提高输入图像的对比度。在本文中,我们提出了一种应用于基于he的对比度增强算法的子图像边缘保留(SIEP)方法,以进一步保留直方图均衡图像中的边缘并增强局部对比度。该方法将输入图像分割成不同的子图像,然后利用基于he的对比度增强方法分别生成每个子图像的局部变换函数。利用各子图像梯度的总和对各局部变换函数进行加权,生成全局变换函数,在保持边缘的同时增强图像的整体对比度。实验结果表明,该方法具有较好的边缘保持率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Sub-Image Edge Preservation method for histogram equalization
Histogram equalization (HE) is widely used in image contrast enhancement. It basically equalizes the image histogram to improve the contrast of the input image. In this paper, we propose a Sub-Image Edge Preservation (SIEP) method applied to HE-based contrast enhancement algorithms to further preserve edges in the histogram-equalized images and enhance local contrast. In this method, the input image is partitioned into different sub-images and in turn, the local transform function of each sub-image is generated respectively by applying a HE-based contrast enhancement method. Moreover, it exploits the total of gradients in each sub-image to weigh each local transform function for generating a global transform function to enhance overall image contrast while preserving edges. Experimental results show the efficacy of our method for a better edge preserving rate.
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