K. Nallaperumal, R. Selvakumar, S. Radhakrishnan, K. Arulmozhi, J. Varghese, K. Krishnaveni
{"title":"An efficient approach to data hiding based on lattice vector quantization","authors":"K. Nallaperumal, R. Selvakumar, S. Radhakrishnan, K. Arulmozhi, J. Varghese, K. Krishnaveni","doi":"10.1109/WOCN.2006.1666681","DOIUrl":null,"url":null,"abstract":"This paper describes a robust, oblivious data embedding scheme which uses lattice vector quantization. The embedding is done in the DCT domain. The signature image is vector quantized and the indices obtained are coded using error-correcting codes (BCH codes). The codewords obtained are multiplied by a scaling factor and perturbed into the DCT coefficients of the host image which is lattice vector quantized. Experimental results of the peak signal to noise ratio (PSNR) of the watermarked image for different host images and the PSNR of the recovered signature image for different values of scaling factors stand a testimony for the validity of this method","PeriodicalId":275012,"journal":{"name":"2006 IFIP International Conference on Wireless and Optical Communications Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IFIP International Conference on Wireless and Optical Communications Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCN.2006.1666681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper describes a robust, oblivious data embedding scheme which uses lattice vector quantization. The embedding is done in the DCT domain. The signature image is vector quantized and the indices obtained are coded using error-correcting codes (BCH codes). The codewords obtained are multiplied by a scaling factor and perturbed into the DCT coefficients of the host image which is lattice vector quantized. Experimental results of the peak signal to noise ratio (PSNR) of the watermarked image for different host images and the PSNR of the recovered signature image for different values of scaling factors stand a testimony for the validity of this method