{"title":"Digital watermarking based on fractal image coding using DWT and HVS","authors":"S. Ohga, R. Hamabe","doi":"10.3233/KES-140288","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new digital watermarking method based on fractal image coding using DWT and HVS. The method decomposes an original image into subbands LL1 and LL2 using DWT. In fractal image coding, LL1 and LL2 are used for the range blocks region and domain blocks region, respectively. This scheme can embed the watermark robustly against JPEG compression because it embeds the watermark sequence into the subband LL1 using fractal image coding. In addition, the quality of the watermarked image is good in spite of embedding into LL1, because we handle the fractal processing to only the candidate range blocks selected by an embedding judgment processing based on HVS. Experimental results show that the proposed method not only improves robustness against JPEG compression but also improves the quality of the watermarked image when compared with conventional techniques.","PeriodicalId":210048,"journal":{"name":"Int. J. Knowl. Based Intell. Eng. Syst.","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Knowl. Based Intell. Eng. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/KES-140288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we propose a new digital watermarking method based on fractal image coding using DWT and HVS. The method decomposes an original image into subbands LL1 and LL2 using DWT. In fractal image coding, LL1 and LL2 are used for the range blocks region and domain blocks region, respectively. This scheme can embed the watermark robustly against JPEG compression because it embeds the watermark sequence into the subband LL1 using fractal image coding. In addition, the quality of the watermarked image is good in spite of embedding into LL1, because we handle the fractal processing to only the candidate range blocks selected by an embedding judgment processing based on HVS. Experimental results show that the proposed method not only improves robustness against JPEG compression but also improves the quality of the watermarked image when compared with conventional techniques.