Robust secret image sharing scheme resistance to maliciously tampered shadows by AMBTC and quantization

IF 1 4区 生物学 Q4 DEVELOPMENTAL BIOLOGY
Yuyuan Sun , Ching-Nung Yang , Xuehu Yan , Yuliang Lu , Lei Sun
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引用次数: 1

Abstract

For (k, n)-threshold secret image sharing (SIS) scheme, only k or more than k complete parts can recover the secret information, and the correct image cannot be obtained if the count of shadow images is not enough or the shadow images are damaged. The existing schemes are weak in resisting large-area shadow image tampering. In this paper, we propose a robust secret image sharing scheme resisting to maliciously tampered shadow images by Absolute Moment Block Truncation Coding (AMBTC) and quantization (RSIS-AQ). The secret image is successively compressed in two ways: AMBTC and quantization. The sharing shadow images contain the sharing results of both compressed image from different parts, so that even the shadow images are faced with large-scale area of malicious tampering, the secret image can be recovered with acceptable visual quality. Compared with related works, our scheme can resist larger area of tampering and yield better recovered image visual quality. The experimental results prove the effectiveness of our scheme.

Abstract Image

基于AMBTC和量化的鲁棒秘密图像共享方案抗阴影恶意篡改
对于(k, n)阈值秘密图像共享(SIS)方案,只有k个或k个以上的完整部分才能恢复秘密信息,如果阴影图像数量不足或阴影图像损坏,则无法获得正确的图像。现有算法对大面积阴影图像篡改的抵抗能力较弱。本文提出了一种基于绝对矩块截断编码(AMBTC)和量化(rss - aq)的抗阴影图像恶意篡改的鲁棒秘密图像共享方案。采用AMBTC和量化两种方法对秘密图像进行连续压缩。共享的阴影图像包含了不同部分压缩图像的共享结果,因此即使阴影图像面临大面积的恶意篡改,也能以可接受的视觉质量恢复秘密图像。与相关工作相比,我们的方案可以抵抗更大的篡改面积,恢复图像的视觉质量更好。实验结果证明了该方案的有效性。
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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来源期刊
Gene Expression Patterns
Gene Expression Patterns 生物-发育生物学
CiteScore
2.30
自引率
0.00%
发文量
42
审稿时长
35 days
期刊介绍: Gene Expression Patterns is devoted to the rapid publication of high quality studies of gene expression in development. Studies using cell culture are also suitable if clearly relevant to development, e.g., analysis of key regulatory genes or of gene sets in the maintenance or differentiation of stem cells. Key areas of interest include: -In-situ studies such as expression patterns of important or interesting genes at all levels, including transcription and protein expression -Temporal studies of large gene sets during development -Transgenic studies to study cell lineage in tissue formation
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