摘要
针对现有多尺度Retinex图像增强算法采用线性加权的方法来综合各个单尺度Retinex增强效果,不能很好地体现出各个尺度在色彩保真和细节增强上的特点与优势,本文提出一种新的基于照度分割的局部多尺度Retinex图像增强算法.该算法首先通过引入带参数的LIP模型将图像分解成四个照度区域,然后对各区域根据照度的差异采用相应尺度的Retinex算法进行增强,最后通过基于面积的比例因子对各增强后子图进行照度融合,实现图像增强.实验结果表明,与现有多尺度Retinex算法相比,本文算法在图像亮度保持和细节增强上,处理效果较好,在色彩方面也有较好的效果.
The linear weighted average method is adopted to integrate the results of different scale Retinex Algorithms,but it did not stress the merit of each scale in maintaining the details and the color fidelity effectively. So a novel Multi-Scale Retinex Algorithm is proposed in this paper. It segments original image into four iUuminance regions by involving the parameterized LIP model. Then each region is enhanced by Retinex Algorithm whose scale is selected according to the illuminance difference. At last, based on proportionality factor, the enhanced subimages are fused to enhance the intact image. Experimental results show that the new algorithm is better than the traditional MSR method in both details and color fidelity.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第5期1181-1186,共6页
Acta Electronica Sinica
基金
国家自然科学基金(No.60705015
60575023)
安徽省自然科学基金(No.070412054)
