一种基于二进小波变换的图像增强方法  

An image enhancement method based on binary wavelet transform

作　　者：贺欢 吐尔洪江·阿布都克力木[1] 何笑 He Huan;TURGHUNJIAN·Abdukirim;HeXiao(School of Mathematical Sciences,Xinj iang Normal University,Urumqi,Xinjiang,830017,China)

机构地区：[1]新疆师范大学数学科学学院

出　　处：《信息通信》2019年第8期13-15,共3页Information & Communications

基　　金：国家自然科学基金资助项目（No.11261061,No.61362039,No.10661010）;新疆维吾尔自治区自然科学基金资助项目（No.200721104）;新疆师范大学数学教学资源开发重点实验室招标课题（No.XJNUSY082017B03）

摘　　要：传统的增强图像的方法会丢失图像细节。结合二进小波变换和直方图均衡的优势,提出一种基于二进小波变换的图像增强方法。首先利用二进小波变换将图像分解为一个低频分量和三个高频分量,分别对低频分量做直方图均衡处理,高频分量做高斯-拉普拉斯掩膜锐化,再将处理后的低频分量和各高频分量进行二进小波逆变换重构。实验结果表明,该方法较于单纯的只使用直方图均衡的传统方法和只对低频图像做直方图均衡处理方法有较好的增强效果。Traditional way to enhance image will loss of image detail. Combined with the advantages of binary wavelet transform and histogram equalization, put forward a method of image enhancement based on binary wavelet transform. Firstly, the binary wavelet transform is used to change the image is decomposed into a low frequency component and three high frequency components, respectively, for low frequency component of the histogram equalization processing, high frequency component does,gauss Laplace mask sharpening, will deal with again after the low frequency component and the high frequency component of reconstructing binary wavelet inverse transform. The experimental results show that the method is in pure only use traditional methods of histogram equalization and only the low frequency image histogram equalization processing methods have better effect.

关 键 词：二进小波变换 直方图均衡 高斯-拉普拉斯掩膜锐化 图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]