基于改进直方图均衡化和SSR算法的灰度图像增强研究

J4 ›› 2017, Vol. 34 ›› Issue (3): 286-292.

基于改进直方图均衡化和SSR算法的灰度图像增强研究

胡倍倍,吕浩杰

河南大学物理与电子学院, 河南开封 475004

收稿日期:2016-04-22 修回日期:2016-07-21 出版日期:2017-05-28 发布日期:2017-05-22
通讯作者: 吕浩杰（1979-），河南人，博士，副教授，主要从事图像处理、检测技术、MEMS传感器等方面研究工作。 E-mail:haojielv@henu.edu.cn

Gray image enhancement based on improved histogram equalization and SSR algorithm

School of Physics and Electronics, Henan University, Kaifeng 475004, China

Received:2016-04-22 Revised:2016-07-21 Published:2017-05-28 Online:2017-05-22

摘要/Abstract

摘要： 为了提高偏亮和偏暗图像的增强效果，提出了一种改进的直方图均衡化和SSR算法相结合的灰度图像增强方法。对原始图像进行改进直方图均衡化增强，提取低频分量进行直方图均衡化，与高频分量融合；对原始图像进行SSR算法增强；将得到的2个图像进行加权融合。结果表明：新方法得到的图像比原始图像细节特征突出，视觉效果明显改善；对比度和信息熵得到提高、亮度得到调整。在医学X射线图像上验证了其可行性，与其他增强算法相比，新方法更有利于图像的准确分析。

关键词: 图像处理；图像增强；直方图均衡化；SSR算法；图像融合

Abstract: In order to improve the enhancement effect of partial brighter and darker image, an improved gray image enhancement method is proposed, which is based on histogram equalization and single-scale retinex(SSR) algorithm. Improved histogram equalization enhancement for original image is carried out, the low frequency components of the original image were enhanced by histogram equalization, With the high frequency components fusion;SSR algorithm enhancement is carried out to original image. Weighted fusion of the two images is carried out. Results show that the image obtained by the new method is more prominent to highlight the details of the original image, and the visual effect is improved significantly. Contrast and entropy are enhanced, and the brightness is adjusted. The feasibility on medical X - ray images is verified. Compared with other enhancement algorithms, the new method is more conducive to the accurate analysis of images.

Key words: image processing; image enhancement; histogram equalization; SSR algorithm; image fusion

中图分类号:

TP391

胡倍倍吕浩杰. 基于改进直方图均衡化和SSR算法的灰度图像增强研究[J]. J4, 2017, 34(3): 286-292.

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