.png){kind=icon}
返回
Progressive sharing for a secret image
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jss.2009.10.012.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Based on the wavelet transform, a new progressive sharing scheme is proposed to share a secret image into several shadow images using SPIHT encoding processes and Shamir's threshold scheme. Quality refinement of the recovered image is achieved by the data consumed from the threshold number (r) of shadow images and each single shadow image reveals no information about the secret image. The size of each shadow image is smaller than 1/r of the secret image and any number of shadow images that is less than r reveals no information about the secret image. The proposed approach is secure for image sharing and provides excellent peak signal-to-noise ratio (PSNR) versus rate performance. Experimental results have demonstrated the promising performance of this method in progressive sharing. (C) 2009 Elsevier Inc. All rights reserved.
Keyword:
Image sharing
Secret sharing
Shadow image
SPIHT
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.1
论文数:
5.5K
被引数:
8.4K
机构
引用论文
.png){kind=icon}
Tissue distribution of tetrodotoxin and its analogs in Lagocephalus pufferfish collected in Vietnam
PREAI
分享收藏Reversible integer-to-integer wavelet transforms for image compression: Performance evaluation and analysis用于图像压缩的可逆整数到整数小波变换: 性能评估和分析
PREAI
分享收藏
分享收藏
查看更多内容