摘要
提出了一种基于Piecewise直方图均衡化的图像增强方法,有机地结合了亮度拉伸和传统直方图均衡化的优点。通过定义直方图中相邻灰度级的距离,引入了一个基于直方图均值和标准偏差的Piecewise线性变换,探讨了图像过亮时Piecewise直方图均衡化参数的选取。实验表明,该方法的处理结果能有效避免现有的直方图均衡化方法中的"吞噬"问题和亮度饱和问题。在增强图像时不仅能保留细节,而且具有更加自然的视觉效果。
Piecewise histogram equalization（Piecewise HE） was proposed,which combines the benefits of contrast stretching and existing histogram equalization.The swallow of saturation and brightness is avoided in the enhanced image by a piecewise linear mapping function,which combines with the mean and standard deviation of the histogram,and the parameters selection of Piecewise HE is explored when over-enhancement existed.The experimental results have demonstrated that the proposed method can enhance the images effectively,which avoids the swallow and over-enhancement problems of the existing histogram equalization methods.The proposed method not only preserves the original details,but also has a more natural visual effect in the enhanced image.
出处
《通信学报》
EI
CSCD
北大核心
2011年第9期153-160,共8页
Journal on Communications
基金
国家自然科学基金资助项目(60873114)
中国博士后科学基金资助项目(20080440073)~~
关键词
图像增强
直方图均衡化
分段线性均衡化
细节保留
image enhancement
histogram equalization
piecewise equalization
detail preserving
