{"title":"基于正交域PSNR的水印嵌入强度估计","authors":"Chen Jie, Bin Huang, Jian Mao","doi":"10.12783/dtetr/mcaee2020/35020","DOIUrl":null,"url":null,"abstract":"Abstract. Based on the relation of points and vectors in Euclid Space, in this paper an image is regarded as a point in Euclid Space, and a watermarking as a vector. Then this paper presents how to estimate the embedding strength of watermarking according to the characteristic of the PSNR of the watermarked digital image in orthogonal domain. Experimental results show that the formula of the embedding strength is accurate and has minor errors.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"79 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Estimation of Watermarking Embedding Strength Based on PSNR in Orthogonal Domain\",\"authors\":\"Chen Jie, Bin Huang, Jian Mao\",\"doi\":\"10.12783/dtetr/mcaee2020/35020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Based on the relation of points and vectors in Euclid Space, in this paper an image is regarded as a point in Euclid Space, and a watermarking as a vector. Then this paper presents how to estimate the embedding strength of watermarking according to the characteristic of the PSNR of the watermarked digital image in orthogonal domain. Experimental results show that the formula of the embedding strength is accurate and has minor errors.\",\"PeriodicalId\":11264,\"journal\":{\"name\":\"DEStech Transactions on Engineering and Technology Research\",\"volume\":\"79 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"DEStech Transactions on Engineering and Technology Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12783/dtetr/mcaee2020/35020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"DEStech Transactions on Engineering and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12783/dtetr/mcaee2020/35020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Estimation of Watermarking Embedding Strength Based on PSNR in Orthogonal Domain
Abstract. Based on the relation of points and vectors in Euclid Space, in this paper an image is regarded as a point in Euclid Space, and a watermarking as a vector. Then this paper presents how to estimate the embedding strength of watermarking according to the characteristic of the PSNR of the watermarked digital image in orthogonal domain. Experimental results show that the formula of the embedding strength is accurate and has minor errors.
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