{"title":"An Improved Reversible Data Hiding on Encrypted Images by Selective Pixel Flipping Technique","authors":"Amrutham Abhinav, V. Manikandan, Bini A. A.","doi":"10.1109/ICDCS48716.2020.243602","DOIUrl":null,"url":null,"abstract":"Reversible data hiding on encrypted images is an active area of research in the field of information security. In this paper, we revisit the reversible data hiding scheme proposed by Xinpeng Zhang in 2011. To ensure the exact image recovery at the receiver side, the existing scheme uses a block size of 32 × 32 pixels, this leads to an embedding rate of 9.76 × 10-4 bite per pixels. We also observed that the existing scheme is prone to fail while recovering an image block which contains highly correlated pixel values (very smooth region). In this manuscript, we propose a new scheme which will help to reduce the block size without compromising the bit error rate. The experimental study of the new scheme is carried on USC-SIPI image dataset managed by the University of Southern California, and the results show that the proposed scheme outperforms the existing scheme.","PeriodicalId":307218,"journal":{"name":"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Devices, Circuits and Systems (ICDCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS48716.2020.243602","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
Reversible data hiding on encrypted images is an active area of research in the field of information security. In this paper, we revisit the reversible data hiding scheme proposed by Xinpeng Zhang in 2011. To ensure the exact image recovery at the receiver side, the existing scheme uses a block size of 32 × 32 pixels, this leads to an embedding rate of 9.76 × 10-4 bite per pixels. We also observed that the existing scheme is prone to fail while recovering an image block which contains highly correlated pixel values (very smooth region). In this manuscript, we propose a new scheme which will help to reduce the block size without compromising the bit error rate. The experimental study of the new scheme is carried on USC-SIPI image dataset managed by the University of Southern California, and the results show that the proposed scheme outperforms the existing scheme.