首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波变换矩阵的改进脊波变换图像去噪
引用本文:王宏志,刘媛媛,孙琦.基于小波变换矩阵的改进脊波变换图像去噪[J].吉林大学学报(理学版),2010,48(1):99-103.
作者姓名:王宏志  刘媛媛  孙琦
作者单位:1. 长春工业大学 计算机科学与技术学院, 长春 130012,2. 吉林农业大学信息技术学院, 长春 130118
基金项目:国家科技支撑计划项目基金(批准号:2007BAE17B04)
摘    要:针对Mallat算法构造小波变换矩阵处理图像. 为解决有限域脊波变换(FRIT)只能应用于素数像素大小的图像且图像处理中产生随机信号和“环绕”的问题, 提出3种改进型FRIT方法, 并将其与不同边界延拓方法相结合应用于图像去噪中.实验结果表明, 所给方法在对于具有直线特征的图像去噪方面性能较优.

关 键 词:Mallat算法    小波变换矩阵    有限域脊波变换(FRIT)    边界延拓    图像去噪  
收稿时间:2009-09-14

Improved FRIT Denoising Based on Wavelet Transform Matrix
WANG Hong-zhi,LIU Yuan-yuan,SUN Qi.Improved FRIT Denoising Based on Wavelet Transform Matrix[J].Journal of Jilin University: Sci Ed,2010,48(1):99-103.
Authors:WANG Hong-zhi  LIU Yuan-yuan  SUN Qi
Institution:1. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China;2. College of Information Technology, Jilin Agricultural University, Changchun 130118, China
Abstract:The authors constructed wavelet transformation matrix to process images in view of Mallat algorithm,in order to solve the questions that FRIT can only apply to pixel-size image of prime number,generated random signal and around phenomenon in image processing,and proposed three kinds of improved FRIT methods that were combined with boundary prolong methods,which were used in the image denoising,the experiment showed that the denoising performance of the image with a straight line feature is better.
Keywords:Mallat algorithm  wavelet transform matrix  finite ridgelet transform (FRIT)  boundary extension  image denoising
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《吉林大学学报(理学版)》浏览原始摘要信息
点击此处可从《吉林大学学报(理学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号