改进小波包分析在图像噪声处理中的应用  

Application of improved wavelet packet analysis in image denoising

作　　者：李春鑫[1] 李天伟[1] 王孝通[1] 黄谦[1] 李明海[1] 

机构地区：[1]海军大连舰艇学院,辽宁大连116018

出　　处：《计算机工程与设计》2005年第9期2550-2551,2554,共3页Computer Engineering and Design

摘　　要：针对图像消噪问题,提出了改进小波包分析算法。该算法对小波包分解和重构算法进行了改进,通过对小波包分解系数的重新排序,解决了由于隔点采样而引起的频带混叠问题,并对小波消噪原理进行了深入分析。通过对图像的消噪处理,该算法消噪效果优于二维小波变换和小波包分析算法,具有更为广泛的应用价值。Aiming at the problem of image denoising, improved wavelet packet analysis is presented, The algorithm of wavelet packet decomposition and reconstruction was improved, and by reordering the coefficients of wavelet packet decomposition, it solved the problem of block overlap of frequency bands caused by down sampling, besides, the principle of wavelet denoising was deeply analyzed. By image denoising, the result of the algorithm is superior to 2-D is wider. wavelet transform and wavelet packet, and the value of its application is wider.

关 键 词：小波分析 小波包 频带混叠 消噪原理 图像 

分 类 号：TN911[电子电信—通信与信息系统]