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30 October 2009 Algorithm for lossless information hiding based on linear prediction template
Cheng-jun Xie, Lin Xu, Xin-wen Bi, Hui-zhu Li
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Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 749842 (2009) https://doi.org/10.1117/12.831390
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
This paper presents an algorithm for lossless information hiding based on linear prediction template, devotes every effort to reduce the prediction error of linear prediction template, since reducing the prediction error in deeper degree results in better effects of improving embedding capacity and image quality. Here we also study how much does certain threshold value of linear prediction template affect embedding capacity and image quality. Since there should be many threshold values specification, here we take the destined threshold values for comparison, and presents simulation experiment results. Using linear prediction template and extended embedding/extraction algorithms, the algorithm utilizes the relativity among the adjacent pixels sufficiently to implement information hiding and blind extraction with satisfaction. The experiment results indicate that large quantity information can be embedded while keeping less impact on image quality of information hided ones. Application fields of this algorithm should include circumstances when large hiding data quantity, high precision is required, like image storing and illustration, copy protection, remote sensing, military, medicine, law, etc.
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Cheng-jun Xie, Lin Xu, Xin-wen Bi, and Hui-zhu Li "Algorithm for lossless information hiding based on linear prediction template", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 749842 (30 October 2009); https://doi.org/10.1117/12.831390
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KEYWORDS
Data hiding
Image quality
Image compression
Relativity
Remote sensing
Image quality standards
Medicine
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