{"title":"社交网络上图片的版权保护","authors":"Luka Kedmenec, A. Poljicak, L. Mandić","doi":"10.1109/ELMAR.2014.6923345","DOIUrl":null,"url":null,"abstract":"In this paper we developed a steganographic method for image protection on Facebook social network. The method hides additional information such as a logo or serial number. Uploading the images on the social network has induced image degradation on the original images. Based on the analysis of this attack we developed a method based on the discrete cosine transform - DCT where additional information is hidden by modifying the coefficients in the cosine domain. The method was evaluated and it is shown that bit error rate (BER) for different attacks was below 1%.","PeriodicalId":424325,"journal":{"name":"Proceedings ELMAR-2014","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Copyright protection of images on a social network\",\"authors\":\"Luka Kedmenec, A. Poljicak, L. Mandić\",\"doi\":\"10.1109/ELMAR.2014.6923345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we developed a steganographic method for image protection on Facebook social network. The method hides additional information such as a logo or serial number. Uploading the images on the social network has induced image degradation on the original images. Based on the analysis of this attack we developed a method based on the discrete cosine transform - DCT where additional information is hidden by modifying the coefficients in the cosine domain. The method was evaluated and it is shown that bit error rate (BER) for different attacks was below 1%.\",\"PeriodicalId\":424325,\"journal\":{\"name\":\"Proceedings ELMAR-2014\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings ELMAR-2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMAR.2014.6923345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings ELMAR-2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMAR.2014.6923345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Copyright protection of images on a social network
In this paper we developed a steganographic method for image protection on Facebook social network. The method hides additional information such as a logo or serial number. Uploading the images on the social network has induced image degradation on the original images. Based on the analysis of this attack we developed a method based on the discrete cosine transform - DCT where additional information is hidden by modifying the coefficients in the cosine domain. The method was evaluated and it is shown that bit error rate (BER) for different attacks was below 1%.