一种结合直方图均衡化和MSRCR的图像增强新算法  

Novel algorithm for image enhancement with histogram equalization and MSRCR

作　　者：李锦[1] 王俊平[1] 万国挺[1] 李紫阳[1] 许丹[1] 曹洪花[1] 张广燕[1] 

机构地区：[1]西安电子科技大学通信工程学院,陕西西安710071

出　　处：《西安电子科技大学学报》2014年第3期103-109,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61173088);西安市产业技术创新计划(CX1248⑤)

摘　　要：为便于集成电路(IC)真实缺陷形貌图的缺陷特征提取,提出了一种结合直方图均衡化(HE)和多尺度Retinex彩色恢复(MSRCR)算法的彩色图像增强新算法.用直方图均衡化对彩色图像进行增强,可以显著提高对比度,但会降低原图的信息熵;用Retinex算法对彩色图像进行增强,可以显著提高暗区域的细节,但会产生泛白、颜色失真和对比度低的现象.新算法根据两种算法处理结果的特点,将图像先分别进行HE增强和MSRCR增强,然后按照一定的图像融合规则进行加权融合,经过大量的测试统计,得到了一个最佳权重.实验证明,改进的算法使图像的亮度、对比度、细节等都有很大的增强,不仅改善了图像的整体视觉效果,而且得到了最大的信息熵,能更好地刻画IC缺陷细节,有利于后续的目标检测和缺陷特征提取,并验证了算法的通用性.In order to conveniently extract the extra material defect features from an IC real image , this paper proposes a new method for a color image enhancement combined with histogram equalization （ HE） and Multi-Scale Retinex with Color Restoration （ MSRCR） . Using histogram equalization to color image enhancement can significantly improve the contrast but will reduce the original information entropy , the Retinex algorithm can improve the details of the dark area but will lead to the phenomena such as the white and color distortion , low contrast . The new algorithm , according to the characteristics of the processing results of the above two algorithms , weightily fusing the HE enhanced image and the MSRCR enhanced image , has been one of the best weighting factors after a lot of test statistics . Experimental results show that the improved algorithm produces greater enhancement in the image＆#39;s brightness , contrast , detail , and others and that it not only improves the overall visual effect of the image , but also gives the maximum information entropy . Through objective and subjective evaluation , it is shown that the algorithm has a fantastic effect on enhancement of color image , compared to the HE and MSRCR algorithm that process separately , and that it can better describe IC defects in detail , which is conducive to the detection and defect feature extraction of the subsequent target , and verify the versatility of the algorithm .

关 键 词：图像增强 直方图均衡化 RETINEX算法 图像融合 IC缺陷特征提取 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]