{"title":"Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform","authors":"Yan Liu, Jiying Zhao","doi":"10.1109/CCCRV.2004.1301448","DOIUrl":null,"url":null,"abstract":"Many image watermarking schemes against geometric attacks have been proposed. Rotation, scaling, translation (RST) invariant image watermarking based on log-polar mapping (LPM) and Radon transform is one of them. In this paper, we analyze the embedding and detection process of the above-mentioned method. We focus on how to select the watermark data, how to embed the watermark into the original image, and how to implement approximative inverse log-polar mapping (ILPM) during the embedding process. We analyze watermark detection when a watermarked image is scaled or rotated, and propose to use the rotation rectification to battle rotation. Three detection methods are compared.","PeriodicalId":88969,"journal":{"name":"Proceedings. Canadian Conference on Computer and Robot Vision","volume":"2 5 1","pages":"225-232"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Canadian Conference on Computer and Robot Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCRV.2004.1301448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Many image watermarking schemes against geometric attacks have been proposed. Rotation, scaling, translation (RST) invariant image watermarking based on log-polar mapping (LPM) and Radon transform is one of them. In this paper, we analyze the embedding and detection process of the above-mentioned method. We focus on how to select the watermark data, how to embed the watermark into the original image, and how to implement approximative inverse log-polar mapping (ILPM) during the embedding process. We analyze watermark detection when a watermarked image is scaled or rotated, and propose to use the rotation rectification to battle rotation. Three detection methods are compared.
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