{"title":"自适应多阈值图像去噪方法","authors":"Ling-Zhen Song, Li Zhang","doi":"10.1109/IIH-MSP.2013.16","DOIUrl":null,"url":null,"abstract":"In this paper, a new adaptive multi-thretholding image denoising method based on the decomposition order is presented, which is built upon the ideas of Embedded Zero tree Wavelet (EZW) encoder and separate character of signals and noises. This method is not increase in operation amounts but excellent in image denoising results.","PeriodicalId":105427,"journal":{"name":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Multi-thresholding Image Denoising Method\",\"authors\":\"Ling-Zhen Song, Li Zhang\",\"doi\":\"10.1109/IIH-MSP.2013.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new adaptive multi-thretholding image denoising method based on the decomposition order is presented, which is built upon the ideas of Embedded Zero tree Wavelet (EZW) encoder and separate character of signals and noises. This method is not increase in operation amounts but excellent in image denoising results.\",\"PeriodicalId\":105427,\"journal\":{\"name\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIH-MSP.2013.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIH-MSP.2013.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a new adaptive multi-thretholding image denoising method based on the decomposition order is presented, which is built upon the ideas of Embedded Zero tree Wavelet (EZW) encoder and separate character of signals and noises. This method is not increase in operation amounts but excellent in image denoising results.
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