一种新的基于MSRCR光照补偿算法  

Light Compensation Algorithm Based on MSRCR

作　　者：冯亚丽[1] 黄静[1] 

机构地区：[1]东北石油大学计算机与信息技术学院,大庆163318

出　　处：《计算机系统应用》2012年第9期187-191,共5页Computer Systems & Applications

基　　金：黑龙江省教育厅自然科学基金(11552003)

摘　　要：对质量较差的人脸图像进行光照补偿,多尺度Retinex算法是传统的算法中比较有效的一种,但是Retinex算法处理的人脸图像会产生"泛白、颜色失真、对比度低"现象,为了提高人脸识别率,为此提出了一种新的带色彩恢复的多尺度Retinex算法(MSRCR)对彩色图像进行光照补偿.在对MSRCR理论进行研究的基础上,对原有算法进行改进,使用了快速傅里叶变换,运行速度快于已有传统方法.经过实验证明,改进算法使图像的对比度,亮度,隐藏的细节等方面都有很大的增强.论述了该算法的原理和实现方法,同时通过实验将其与直方图均衡,Gamma变换等方法进行比较.实验结果表明:该算法对彩色图像光照补偿有很好的效果.Multi-Scale Retinex algorithm is one of the effective traditional algorithms on illumination compensation to face image of poor quali~, but the phenomenon such as the white and color distortion, low contrast, which might be produced during process of the retinex algorithm to face images. In order to improve the face recognition rate under complex light conditions, this paper proposes a new and multi-scale retinex with color restoration for light compensation of color images. On the basis of studying of MSRCR theory, bettering the original algorithm, and using the fast Fourier algorithm, so its speed is faster than that of the traditional method. Experiment proved the contrast, brightness, hidden details of images are enhanced by using the improved algorithm. This paper describes the principle and implementation method of the algorithm and at the same time compares it with histogram equalization, Gamma transform methods through experiments. Results of experiments show that good effects can be produced while using the algorithm for light compensation of color images.

关 键 词：人脸识别 直方图均衡化 GAMMA MSRCR 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]