The Research on a New Image Enhancement Algorithm Based on Retinex Theory

被引：0
|
作者：
Guang, Qin [1 ]
机构：
[1] Xichang Coll, Network Management Ctr, Xichang, Peoples R China
来源：
ADVANCED RESEARCH ON COMPUTER EDUCATION, SIMULATION AND MODELING, PT II | 2011年 / 176卷 / 02期
关键词：
Retinex theory; SSR algorithm; Gaussian low-pass filter; Butterworth low-pass filter; COLOR-VISION;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
On the basis of Retinex theory, We know that SSR (SSR, Single Scale Retinex) algorithms mainly consists of two steps: estimation and normalization of illumination. The illumination is estimated as a smooth version of input image using gaussian low-pass filters. In this paper, We propose a method to improve SSR algorithm. We used Butterworth low-pass filter instead of gaussian low-pass filter to smooth the image. Compared with traditional Retinex algorithm, The experimental results shows that. The result images using modified SSR algorithm have greater entropy and average gradient.
引用
收藏
页码：336 / 342
页数：7
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