{"title":"一种新的局部自适应小波图像去噪方法","authors":"Li Shixin, Zhang Xinghui, Wang Jianming","doi":"10.1109/ISCCS.2011.49","DOIUrl":null,"url":null,"abstract":"In order to improve the signal to noise ratio of image, a local adaptive Wiener filter in wavelet domain is applied to a 2-D image. Several 1-D windows could be constructed on the direction character of sub-image in the filter window after wavelet transform. Then the adaptive filters could be obtained from the 1-D windows. With the effective weighted combination of filters in different 1-Dwindows, the sub-image local adaptive filters are generated. And the simulation of the adaptive filter shows it could remove the white noise of image and preserve the edge of images effectively.","PeriodicalId":326328,"journal":{"name":"2011 International Symposium on Computer Science and Society","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A New Local Adaptive Wavelet Image De-noising Method\",\"authors\":\"Li Shixin, Zhang Xinghui, Wang Jianming\",\"doi\":\"10.1109/ISCCS.2011.49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the signal to noise ratio of image, a local adaptive Wiener filter in wavelet domain is applied to a 2-D image. Several 1-D windows could be constructed on the direction character of sub-image in the filter window after wavelet transform. Then the adaptive filters could be obtained from the 1-D windows. With the effective weighted combination of filters in different 1-Dwindows, the sub-image local adaptive filters are generated. And the simulation of the adaptive filter shows it could remove the white noise of image and preserve the edge of images effectively.\",\"PeriodicalId\":326328,\"journal\":{\"name\":\"2011 International Symposium on Computer Science and Society\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Symposium on Computer Science and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCCS.2011.49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Symposium on Computer Science and Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCCS.2011.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Local Adaptive Wavelet Image De-noising Method
In order to improve the signal to noise ratio of image, a local adaptive Wiener filter in wavelet domain is applied to a 2-D image. Several 1-D windows could be constructed on the direction character of sub-image in the filter window after wavelet transform. Then the adaptive filters could be obtained from the 1-D windows. With the effective weighted combination of filters in different 1-Dwindows, the sub-image local adaptive filters are generated. And the simulation of the adaptive filter shows it could remove the white noise of image and preserve the edge of images effectively.
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