{"title":"具有最优失真控制的可逆水印中的任意可逆对比度映射","authors":"S. Maity, H. Maity","doi":"10.1109/NCVPRIPG.2013.6776269","DOIUrl":null,"url":null,"abstract":"A generalized form of reversible contrast mapping (RCM), analogous to M-ary modulation in communication, is developed here for reversible watermarking in digital images. Then an optimized distortion control framework in M-ary scheme is considered to improve data hiding capacity while meeting the embedding distortion constraint. Simulation results show that the combination of different M-ary approaches, using the different points representing the different RCM transformation functions, outperforms the embedding rate-visual quality-security of the hidden information compared to the existing RCM, difference expansion (DE) and prediction error expansion (PEE) methods during over embedding. Numerical results show that an average of 20% improvement in visual quality, 35% improvement in security of the hidden data at 1 bpp embedding rate is achieved for the proposed method compared to the existing PEE works. All these effectiveness are demonstrated with a number of simulation results.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"M-ary reversible contrast mapping in reversible watermarking with optimal distortion control\",\"authors\":\"S. Maity, H. Maity\",\"doi\":\"10.1109/NCVPRIPG.2013.6776269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A generalized form of reversible contrast mapping (RCM), analogous to M-ary modulation in communication, is developed here for reversible watermarking in digital images. Then an optimized distortion control framework in M-ary scheme is considered to improve data hiding capacity while meeting the embedding distortion constraint. Simulation results show that the combination of different M-ary approaches, using the different points representing the different RCM transformation functions, outperforms the embedding rate-visual quality-security of the hidden information compared to the existing RCM, difference expansion (DE) and prediction error expansion (PEE) methods during over embedding. Numerical results show that an average of 20% improvement in visual quality, 35% improvement in security of the hidden data at 1 bpp embedding rate is achieved for the proposed method compared to the existing PEE works. All these effectiveness are demonstrated with a number of simulation results.\",\"PeriodicalId\":436402,\"journal\":{\"name\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCVPRIPG.2013.6776269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCVPRIPG.2013.6776269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
M-ary reversible contrast mapping in reversible watermarking with optimal distortion control
A generalized form of reversible contrast mapping (RCM), analogous to M-ary modulation in communication, is developed here for reversible watermarking in digital images. Then an optimized distortion control framework in M-ary scheme is considered to improve data hiding capacity while meeting the embedding distortion constraint. Simulation results show that the combination of different M-ary approaches, using the different points representing the different RCM transformation functions, outperforms the embedding rate-visual quality-security of the hidden information compared to the existing RCM, difference expansion (DE) and prediction error expansion (PEE) methods during over embedding. Numerical results show that an average of 20% improvement in visual quality, 35% improvement in security of the hidden data at 1 bpp embedding rate is achieved for the proposed method compared to the existing PEE works. All these effectiveness are demonstrated with a number of simulation results.