{"title":"基于梯度下降算法的压缩感知图像水印","authors":"Ana Cadjenovic, Jelena Bakic","doi":"10.1109/MECO.2016.7525787","DOIUrl":null,"url":null,"abstract":"The procedure for image watermarking using only available image samples, is presented in the paper. Namely, watermark is embedded into a certain number of available image samples, where the samples positions are precisely determined in advance. Therefore, samples positions serve as a watermarking key. Block based Compessive Sensing reconstruction is performed in the paper, by using gradient algorithm. Procedure is tested on several natural images. Satisfactory watermark detection, as well as good reconstructed image quality, is obtained.","PeriodicalId":253666,"journal":{"name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compressive sensing based image watermarking using gradient descent algorithm\",\"authors\":\"Ana Cadjenovic, Jelena Bakic\",\"doi\":\"10.1109/MECO.2016.7525787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The procedure for image watermarking using only available image samples, is presented in the paper. Namely, watermark is embedded into a certain number of available image samples, where the samples positions are precisely determined in advance. Therefore, samples positions serve as a watermarking key. Block based Compessive Sensing reconstruction is performed in the paper, by using gradient algorithm. Procedure is tested on several natural images. Satisfactory watermark detection, as well as good reconstructed image quality, is obtained.\",\"PeriodicalId\":253666,\"journal\":{\"name\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2016.7525787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2016.7525787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Compressive sensing based image watermarking using gradient descent algorithm
The procedure for image watermarking using only available image samples, is presented in the paper. Namely, watermark is embedded into a certain number of available image samples, where the samples positions are precisely determined in advance. Therefore, samples positions serve as a watermarking key. Block based Compessive Sensing reconstruction is performed in the paper, by using gradient algorithm. Procedure is tested on several natural images. Satisfactory watermark detection, as well as good reconstructed image quality, is obtained.
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