{"title":"基于多尺度形态学图像分割的自适应水印技术","authors":"M. Rizk, A.E. Youssef, S. El-Khamy","doi":"10.1109/MELCON.2006.1653224","DOIUrl":null,"url":null,"abstract":"Two new image adaptive watermarking techniques which are based on multi-scale morphological segmentation are presented in this paper. One of the proposed techniques extends the conventional spatial domain LSB watermarking technique while the other is an extension of blind watermarking in the discrete wavelet domain. The effect of the use of segmentation information on the quality of the watermarked images is discussed and examples are given to show the advantage of morphological segmentation as a preprocessing step for image adaptive watermarking","PeriodicalId":299928,"journal":{"name":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Adaptive watermarking techniques based on multi-scale morphological image segmentation\",\"authors\":\"M. Rizk, A.E. Youssef, S. El-Khamy\",\"doi\":\"10.1109/MELCON.2006.1653224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two new image adaptive watermarking techniques which are based on multi-scale morphological segmentation are presented in this paper. One of the proposed techniques extends the conventional spatial domain LSB watermarking technique while the other is an extension of blind watermarking in the discrete wavelet domain. The effect of the use of segmentation information on the quality of the watermarked images is discussed and examples are given to show the advantage of morphological segmentation as a preprocessing step for image adaptive watermarking\",\"PeriodicalId\":299928,\"journal\":{\"name\":\"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.2006.1653224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2006.1653224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive watermarking techniques based on multi-scale morphological image segmentation
Two new image adaptive watermarking techniques which are based on multi-scale morphological segmentation are presented in this paper. One of the proposed techniques extends the conventional spatial domain LSB watermarking technique while the other is an extension of blind watermarking in the discrete wavelet domain. The effect of the use of segmentation information on the quality of the watermarked images is discussed and examples are given to show the advantage of morphological segmentation as a preprocessing step for image adaptive watermarking