{"title":"基于感知模型的自适应水印算法","authors":"Fan Zhang, Jianjun Zhao, Xinhong Zhang","doi":"10.1109/WCICA.2006.1713899","DOIUrl":null,"url":null,"abstract":"A blind digital watermarking algorithm is presented based on the perceptual models and Hopfield neural network. The Hopfield neural network stores the host image and the original watermark. The noise visibility function (NVF) is used for adaptively watermark embedding. In the watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive Watermarking Algorithm Based on Perceptual Models\",\"authors\":\"Fan Zhang, Jianjun Zhao, Xinhong Zhang\",\"doi\":\"10.1109/WCICA.2006.1713899\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A blind digital watermarking algorithm is presented based on the perceptual models and Hopfield neural network. The Hopfield neural network stores the host image and the original watermark. The noise visibility function (NVF) is used for adaptively watermark embedding. In the watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment\",\"PeriodicalId\":375135,\"journal\":{\"name\":\"2006 6th World Congress on Intelligent Control and Automation\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 6th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2006.1713899\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2006.1713899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Watermarking Algorithm Based on Perceptual Models
A blind digital watermarking algorithm is presented based on the perceptual models and Hopfield neural network. The Hopfield neural network stores the host image and the original watermark. The noise visibility function (NVF) is used for adaptively watermark embedding. In the watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment