Color image enhancement based on Hue differential histogram equalization

2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2016-10-01 DOI:10.1109/ISPACS.2016.7824720

Janani Purushothaman, Minako Kamiyama, A. Taguchi

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引用次数: 7

Abstract

Histogram equalization (HE) is one of the simplest and effective methods for contrast enhancement. The contrast of an image is increased by HE. But HE fails to produce satisfactory results for wide range of low contrast images, because HE does not use a spatial feature that is included in an original image. In order to overcome this disorder the differential gray-levels histogram equalization (DHE) has been proposed. In this paper, we extend the DHE to color image processing. Then, hue and intensity information are taken into account for color image enhancement. Hue component is used for intensity processing. Even by keeping the intensity constant we can capture the edge by changing the hue. First the processing is done with intensity component and then with hue component. Finally intensity and hue component results are combined to produce better results. The proposed method has one parameter which controls the enhancement property of the color image. The guideline for the decision of the parameter which is agreed by the human sense is also described.

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基于色相差分直方图均衡化的彩色图像增强

直方图均衡化(HE)是一种最简单、最有效的对比度增强方法。HE增强了图像的对比度。但是对于大范围的低对比度图像，HE不能产生令人满意的结果，因为HE没有使用原始图像中包含的空间特征。为了克服这种失调，提出了差分灰度直方图均衡化(DHE)方法。本文将DHE扩展到彩色图像处理中。然后，考虑色相和强度信息进行彩色图像增强。色调组件用于强度处理。即使保持亮度不变，我们也可以通过改变色调来捕捉边缘。首先处理的是强度组件，然后是色调组件。最后将强度和色相组成的结果结合起来，产生更好的结果。该方法通过一个参数控制彩色图像的增强特性。并给出了符合人类感官的参数确定准则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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