摘要
直方图均衡化能够调节图像的动态灰度范围,是一种经典有效的图像增强方法,但它建立在合并相似像素灰度的基础之上,模糊了图像的细节。高频强调滤波将变换后的低频和高频分量都得到了增强,但是低频分量的增强要弱一些,这样会使得图像边缘更加清晰。实验表明,经该方法增强后的图像,其主观视觉效果明显改善。
Histogram equilibrium （HE） of image can extend the image＇s grey range. It＇s a classic and efficient method of image enhancement. But this method can blur image also, because of the algorithm is constructed by the basis of combination of similar grey pixels. For the high frequency emphasize filter that has transformed, the method enhance its the low - frequency coefficients and the high- frequency coefficients, thus low- frequency coefficients＇s enhancement is lower, that highlight image detail. The experiments show that the method could improve an image visually.
出处
《计算技术与自动化》
2009年第2期95-97,110,共4页
Computing Technology and Automation
基金
咸阳师范学院专项科研基金资助项目(08XSYK341)
关键词
直方图均衡化
高频强调滤波
图像增强
histogram equilibrium
high frequency emphasize filter
image enhancement
