摘要
文章提出了一种改进双直方图均衡算法,根据图像的熵和输入输出图像的亮度均值差,自适应的选择合适的阈值将图像分割成两个子图,进行均衡处理和灰度均匀化处理,使得输出图像的亮度均值和原图像接近的同时视觉效果达到最好.实验结果证明了该处理方法能取得较好的增强效果.
An improved bi-histogram equalization algorithm of gray image enhancement is proposed in the paper.According to the entropy of the output image and the difference of the mean brightness of input and output image,an appropriate threshold is selected to cut the image.Based on the threshold,bi-histogram equalization and gray lever homogenization take place.This method makes the error mean brightness as small as possible.Meanwhile,it can provide the best visual effect.The experimental results prove that the new method has a better performance on image enhancement.
出处
《南京晓庄学院学报》
2010年第3期85-87,共3页
Journal of Nanjing Xiaozhuang University
关键词
双直方图均衡
亮度均值
熵
均匀化
自适应
histogram equalization
mean brightness
entropy
homogenization
adaptive
