{"title":"How many pixels to watermark?","authors":"R. Chandramouli, N. Memon","doi":"10.1109/ITCC.2000.844176","DOIUrl":null,"url":null,"abstract":"Watermark design and detection have been studied as two separate problems so far. However, we show that, if the watermarking algorithm is based on the watermark detection method, then significant gains can be achieved. With a watermark detector based on a sequential hypothesis test rather than a fixed sample size test, the number of watermark pixels can be reduced almost by a factor of two for small detection error probabilities. This is because, the sequential hypothesis test requires less (average) number of pixels to detect the presence/absence of a watermark compared to a fixed sample size detector. The savings in the number of pixels to be watermarked results in an increased immunity to host signal attacks such as cropping. Degradation in the signal quality due to redundant watermarking is also minimized. Further, applications such as DVD require minimal amount of watermarking. The computational efficiency of the proposed watermark detector can also be exploited to efficiently search for watermarks in large image databases.","PeriodicalId":146581,"journal":{"name":"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Conference on Information Technology: Coding and Computing (Cat. No.PR00540)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2000.844176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Watermark design and detection have been studied as two separate problems so far. However, we show that, if the watermarking algorithm is based on the watermark detection method, then significant gains can be achieved. With a watermark detector based on a sequential hypothesis test rather than a fixed sample size test, the number of watermark pixels can be reduced almost by a factor of two for small detection error probabilities. This is because, the sequential hypothesis test requires less (average) number of pixels to detect the presence/absence of a watermark compared to a fixed sample size detector. The savings in the number of pixels to be watermarked results in an increased immunity to host signal attacks such as cropping. Degradation in the signal quality due to redundant watermarking is also minimized. Further, applications such as DVD require minimal amount of watermarking. The computational efficiency of the proposed watermark detector can also be exploited to efficiently search for watermarks in large image databases.
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要加多少像素水印?
水印设计和检测一直是作为两个独立的问题来研究的。然而,我们表明,如果水印算法是基于水印检测方法,那么可以取得显着的增益。对于基于序列假设检验而不是固定样本量检验的水印检测器,在检测误差概率较小的情况下,水印像素的数量几乎可以减少两倍。这是因为,与固定样本大小的检测器相比,顺序假设检验需要更少的(平均)像素数来检测水印的存在/不存在。在被水印的像素数上的节省导致增加了对主机信号攻击(如裁剪)的免疫力。由于冗余水印导致的信号质量下降也被最小化。此外,DVD等应用程序需要最少的水印。该水印检测器的计算效率也可用于在大型图像数据库中高效地搜索水印。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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