{"title":"Noise removal for degraded images with Poisson noise using M-transformation and BayesShrink method","authors":"Yeqiu Li, Jianming Lu, Ling Wang, T. Yahagi","doi":"10.1002/ECJC.20357","DOIUrl":null,"url":null,"abstract":"Median filters and other nonlinear filters have been investigated for restoration of degraded images with Poisson noise. Recently, subband image restoration using the wavelet transform has been attracting much attention. This method is effective for small-amplitude noise, but in the case of Poisson noise, large-amplitude noise exceeds the preset threshold and is not removed. In this study, we propose a new method of noise removal from degraded images with Poisson noise by using a combination of the M-transformation [5] and the wavelet BayesShrink method. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 90(11): 11–20, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.20357","PeriodicalId":100407,"journal":{"name":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)","volume":"26 1","pages":"11-20"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics and Communications in Japan (Part III: Fundamental Electronic Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ECJC.20357","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
基于m变换和BayesShrink的泊松噪声退化图像去噪
研究了中值滤波器和其他非线性滤波器用于带泊松噪声的退化图像的恢复。近年来，利用小波变换进行子带图像恢复的研究备受关注。该方法对于小幅度噪声是有效的，但是对于泊松噪声，大幅度噪声超过了预设的阈值而无法去除。在本研究中，我们提出了一种结合m变换[5]和小波贝叶斯收缩方法的泊松噪声退化图像去噪新方法。©2007 Wiley期刊公司电子工程学报，2003,19 (4):444 - 444;在线发表于Wiley InterScience (www.interscience.wiley.com)。DOI 10.1002 / ecjc.20357
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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