{"title":"SWT and Spread Spectrum Coding Based Copyright Protection Technique for Digital Images","authors":"P. Nagarjuna, Dharmender Tyagi, R. B. Ramachandra","doi":"10.1145/3155077.3155085","DOIUrl":null,"url":null,"abstract":"In this manuscript, a new secure spread spectrum watermarking scheme for robust digital images in stationary wavelet transform domain is proposed, and that may be generalized to digital audio, video and documents. Digital image watermarking is to add some hidden message for maintaining the copyright data secure. The image is divided into four sub-bands after applying the stationary wavelet transform (SWT) and then spread spectrum algorithm is applied on the approximation coefficients for embedding process and the watermark is retrieved by using inverse wavelet transform. The experimental results demonstrate the effectiveness of the proposed scheme in terms of imperceptibility and robustness and also compared with some of the existing efficient techniques in-terms of normalized correlation and PSNR.","PeriodicalId":237079,"journal":{"name":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3155077.3155085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this manuscript, a new secure spread spectrum watermarking scheme for robust digital images in stationary wavelet transform domain is proposed, and that may be generalized to digital audio, video and documents. Digital image watermarking is to add some hidden message for maintaining the copyright data secure. The image is divided into four sub-bands after applying the stationary wavelet transform (SWT) and then spread spectrum algorithm is applied on the approximation coefficients for embedding process and the watermark is retrieved by using inverse wavelet transform. The experimental results demonstrate the effectiveness of the proposed scheme in terms of imperceptibility and robustness and also compared with some of the existing efficient techniques in-terms of normalized correlation and PSNR.