{"title":"一种改进的基于小波域局部熵的量化水印方案","authors":"M. Boroumand, A. Ebrahimi","doi":"10.1109/ICSIPA.2009.5478604","DOIUrl":null,"url":null,"abstract":"This paper presents a method for robust watermarking of digital images in wavelet domain. A new HVS model which uses local entropy in addition to conventional masking characteristics of the human visual system such as frequency, luminance and contrast masking has been utilized to increase the robustness of the scheme. Experimental results demonstrate the superiority of the proposed method over the similar method in terms of robustness and transparency.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"An improved quantization based watermarking scheme using local entropy in wavelet domain\",\"authors\":\"M. Boroumand, A. Ebrahimi\",\"doi\":\"10.1109/ICSIPA.2009.5478604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a method for robust watermarking of digital images in wavelet domain. A new HVS model which uses local entropy in addition to conventional masking characteristics of the human visual system such as frequency, luminance and contrast masking has been utilized to increase the robustness of the scheme. Experimental results demonstrate the superiority of the proposed method over the similar method in terms of robustness and transparency.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478604\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478604","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved quantization based watermarking scheme using local entropy in wavelet domain
This paper presents a method for robust watermarking of digital images in wavelet domain. A new HVS model which uses local entropy in addition to conventional masking characteristics of the human visual system such as frequency, luminance and contrast masking has been utilized to increase the robustness of the scheme. Experimental results demonstrate the superiority of the proposed method over the similar method in terms of robustness and transparency.