基于小波分析的图像子带增强算法研究  

Study on Image Sub-Band Enhancement Algorithm Based on Wavelet Analysis

作　　者：薛模根[1,2] 袁广林[3] 姚翎[3] 袁宏武[3] 

机构地区：[1]西安二炮工程学院502教研室 [2]解放军炮兵学院信息处理实验室,合肥230031 [3]解放军炮兵学院信息处理实验室

出　　处：《计算机工程与应用》2005年第24期85-88,共4页Computer Engineering and Applications

摘　　要：介绍了图像的小波分解与重构,通过理论分析和实验研究了基于小波分析的图像子带增强算法,重点是小波基的选取以及图像分解层次对图像中目标边缘增强的影响研究,并针对目标边缘突出,将其与传统图像增强方法进行了比较。实验表明,针对目标边缘突出,基于小波分析的图像子带增强算法优于传统的图像增强方法,在该算法中,小波基选取db1-db5较好,分解层次定为5层增强效果优。Image wavelet decomposition and reconstruction is introduced,image sub-band enhancement algorithm based on wavelet analysis is studied,the selection of wavelet and level of image wavelet decomposition influence on en hancement of edge of target in image is studied emphatically,and aiming at enhancement of edge of target,the algorithm and traditional image enhancement method is compared.The experiment has indicated that aiming at enhancement of edge of target,image sub-band enhancement algorithm based on wavelet analysis is better than traditional image enhancement method,what select db1-db5 wavelet is better,what decomposition level select five is better.

关 键 词：小波分析 图像增强 直方图处理 傅里叶变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]