{"title":"Semi fragile watermarking scheme for image recovery in wavelet domain","authors":"Hanen Rhayma, A. Makhloufi, H. Hamam, A. Hmida","doi":"10.1109/ATSIP.2018.8364447","DOIUrl":null,"url":null,"abstract":"Image authentication watermarking scheme can substantially solve the security of digital images transmitted through insecure channel. In this paper we propose a semi-fragile watermarking scheme for image authentication, localizing and recovering. The approximation sub-band of the second Discrete Wavelet Transformation (DWT), LL2 is used as recovery watermark while the fifth approximation sub-band LL5 is used as authentication and localizing watermark. The two watermarks are embedded into the first approximation sub-band LL1 using the Quantization Index Modulation (QIM). To reduce the size of the recovery watermark, Data Representation through Combination (DRC) is practically used. The experimental results show that our proposed algorithm can resist JPEG compression and give an acceptable estimation of the watermarked image even after the watermarked image has been tampered.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP.2018.8364447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Image authentication watermarking scheme can substantially solve the security of digital images transmitted through insecure channel. In this paper we propose a semi-fragile watermarking scheme for image authentication, localizing and recovering. The approximation sub-band of the second Discrete Wavelet Transformation (DWT), LL2 is used as recovery watermark while the fifth approximation sub-band LL5 is used as authentication and localizing watermark. The two watermarks are embedded into the first approximation sub-band LL1 using the Quantization Index Modulation (QIM). To reduce the size of the recovery watermark, Data Representation through Combination (DRC) is practically used. The experimental results show that our proposed algorithm can resist JPEG compression and give an acceptable estimation of the watermarked image even after the watermarked image has been tampered.
图像认证水印方案可以从根本上解决数字图像在不安全信道上传输的安全性问题。本文提出了一种用于图像认证、定位和恢复的半脆弱水印方案。采用二阶离散小波变换(DWT)近似子带LL2作为恢复水印,采用第五近似子带LL5作为认证和定位水印。使用量化指数调制(QIM)将两个水印嵌入到第一近似子带LL1中。为了减小恢复水印的大小,在实际中采用了DRC (Data Representation through Combination)方法。实验结果表明,该算法能够抵抗JPEG压缩,并且在水印图像被篡改后仍能给出可接受的水印图像估计。