基于双直方图均衡的自适应图像增强算法  

Adaptive Image Enhancement Algorithm Based on Bi-histogram Equalization

作　　者：武英[1] 

机构地区：[1]南京晓庄学院物理与电子工程学院,南京211171

出　　处：《计算机工程》2011年第4期244-245,共2页Computer Engineering

摘　　要：基于双直方图均衡算法,提出一种自适应图像增强算法。该算法综合考虑图像的熵及输入输出图像的亮度均值差,自适应地选择合适的阈值将图像分割成2个子图进行双直方图均衡和灰度均匀化处理,使得输出图像的亮度均值和原图接近的同时输出图像的熵尽可能大,并避免了过增强现象的出现。实验结果证明,该处理方法能取得较好的增强效果。This paper proposes an adaptive image enhancement algorithm based on Brightness preserving Bi-Histogram Equalization（BBHE）. An appropriate threshold is selected to cut the image, the threshold considers the entropy and the difference of mean brightness between the input and output image. Based on the threshold, bi-histogram equalization and gray lever homogenization take place, The algorithm makes the error mean brightness as small as possible and entropy of output image as large as possible. Meanwhile, it can provide over-enhancement. Experimental results prove that the algorithm has better performance on image enhancement.

关 键 词：双直方图均衡 亮度均值 熵 自适应 均匀化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]