改进直方图均衡和Retinex算法在灰度图像增强中的应用

J4 ›› 2014, Vol. 31 ›› Issue (5): 525-532.

改进直方图均衡和Retinex算法在灰度图像增强中的应用

刘海波汤群芳杨杰

1 武汉理工大学信息工程学院，湖北武汉 430070； 2 湖南工学院电气与信息工程学院，湖南衡阳 421002）

收稿日期:2014-01-20 修回日期:2014-03-18 出版日期:2014-09-28 发布日期:2014-09-17
通讯作者: 杨杰（1960-），女，湖北人，博士，教授，从事信息处理及模式识别方面的研究工作。 E-mail:jieyang509@163.com
作者简介:刘海波（1981-）湖北人，博士生，讲师，从事图像处理及模式识别方面的研究工作。E-mail:seainlost81@126.com
基金资助:
中央高校基本科研业务费专项资金资助，湖南省教育厅科学研究项目（编号：11C0361、13C206），衡阳市科技计划项目（2010KS41）

Application of improved histogram equalization and retinex algorithm in gray image enhancement

Liu Haibo，Tang Qunfang，Yang Jie

1 School of Information Engineering, Wuhan University of Technology, Wuhan 430070,Hubei,China; 2 School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002,Hunan,China

Received:2014-01-20 Revised:2014-03-18 Published:2014-09-28 Online:2014-09-17

摘要/Abstract

摘要： 为了提高光照条件变化下的图像增强效果，提出一种改进直方图均衡和Retinex算法的图像增强方法。对于待增强灰度图像，通过理想低通滤波获得图像低频分量，采用改进直方图均衡进行动态范围优化，利用引导图像滤波代替Retinex算法的高斯滤波对图像的高频分量进行估计，并对估计的结果进行线性放大处理。实验结果表明，相对单尺度和多尺度Retinex算法以及改进的直方图均衡化算法，本文方法从主观和客观评价方面都获得了更好的图像增强效果，有效提高了图像的视觉效果和可懂度，并具有较强的鲁棒性。

关键词: 图像处理；图像增强；直方图均衡；Retinex算法；引导图像滤波

Abstract: In order to improve the performance of image enhancement under different illumination conditions, an effective image enhancement method is proposed, which is based on the improved histogram equalization and Retinex algorithm. First, the low frequency components of the image are obtained using the ideal low-pass filter and its dynamic range is optimized by the improved histogram equalization. Second, the high frequency components of the image are estimated by the guided image filtering, which replaces the Gaussian filter in Retinex algorithm. Finally, the estimated results are amplified by the linear processing method. Experimental results show that the performance of the proposed method is better than the traditional Retinex algorithm and improved histogram equalization algorithm by the subjective and objective evaluation. Furthermore, the proposed method effectively improves the image’s visual effects and intelligibility with strong robustness.

Key words: image processing; image enhancement; histogram equalization; retinex algorithm; guided image filtering

刘海波汤群芳杨杰. 改进直方图均衡和Retinex算法在灰度图像增强中的应用[J]. J4, 2014, 31(5): 525-532.

Liu Haibo，Tang Qunfang，Yang Jie. Application of improved histogram equalization and retinex algorithm in gray image enhancement[J]. J4, 2014, 31(5): 525-532.

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