{"title":"基于泽尼克矩的抗几何攻击人脸水印","authors":"Jie Li, J. Wang, Wei-min Ma, Hong Chen, Jing Peng","doi":"10.1109/ICCT.2008.4716236","DOIUrl":null,"url":null,"abstract":"A robust face watermarking scheme is proposed to provide a solution to copyright protection of semantic content. To address the issue of less robustness to geometric attacks in watermarking scheme, Zernike moments based invariant features are extracted and some selected Zernike moments are proposed to carry a multi-bit watermark. Watermark signal is embedded into face region in the intensity spatial domain after the reconstruction process using the proposed geometric invariants. Experimental results prove the effectiveness of the new scheme, including excellent imperceptibility and robustness to image compression, median filtering and common geometric attacks such as rotation, scaling and translation.","PeriodicalId":259577,"journal":{"name":"2008 11th IEEE International Conference on Communication Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Geometric attack resistant face watermarking using Zernike moments\",\"authors\":\"Jie Li, J. Wang, Wei-min Ma, Hong Chen, Jing Peng\",\"doi\":\"10.1109/ICCT.2008.4716236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robust face watermarking scheme is proposed to provide a solution to copyright protection of semantic content. To address the issue of less robustness to geometric attacks in watermarking scheme, Zernike moments based invariant features are extracted and some selected Zernike moments are proposed to carry a multi-bit watermark. Watermark signal is embedded into face region in the intensity spatial domain after the reconstruction process using the proposed geometric invariants. Experimental results prove the effectiveness of the new scheme, including excellent imperceptibility and robustness to image compression, median filtering and common geometric attacks such as rotation, scaling and translation.\",\"PeriodicalId\":259577,\"journal\":{\"name\":\"2008 11th IEEE International Conference on Communication Technology\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th IEEE International Conference on Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT.2008.4716236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th IEEE International Conference on Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2008.4716236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Geometric attack resistant face watermarking using Zernike moments
A robust face watermarking scheme is proposed to provide a solution to copyright protection of semantic content. To address the issue of less robustness to geometric attacks in watermarking scheme, Zernike moments based invariant features are extracted and some selected Zernike moments are proposed to carry a multi-bit watermark. Watermark signal is embedded into face region in the intensity spatial domain after the reconstruction process using the proposed geometric invariants. Experimental results prove the effectiveness of the new scheme, including excellent imperceptibility and robustness to image compression, median filtering and common geometric attacks such as rotation, scaling and translation.