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Chinese Remainder Theorem-Based Secret Image Sharing for (k, n) Threshold

机译:(k,n)阈值的基于中国余数定理的秘密图像共享

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In comparison with Shamir's original polynomial-based secret image sharing (SIS), Chinese remainder theorem-based SIS (CRTSIS) overall has the advantages of lossless recovery, low recovery computation complexity and no auxiliary encryption. Traditional CRTSIS methods generally suffer from no (k,n) threshold, lossy recovery, ignoring the image characteristics and auxiliary encryption. Based on the analysis of image characteristics and SIS, in this paper we propose a CRTSIS method for (fc, n) threshold, through dividing the gray image pixel values into two intervals corresponding to two available mapping intervals. Our method realizes (k, n) threshold and lossless recovery for gray image without auxiliary encryption. Analysis and experiments are provided to indicate the effectiveness of the proposed method.
机译:与Shamir原始的基于多项式的秘密图像共享(SIS)相比,基于中文余数定理的SIS(CRTSIS)总体上具有无损恢复,低恢复计算复杂度和无需辅助加密的优点。传统的CRTSIS方法通常会遇到无(k,n)阈值,有损恢复,忽略图像特征和辅助加密的问题。在分析图像特征和SIS的基础上,通过将灰度图像像素值分为与两个可用映射间隔相对应的两个间隔,提出了一种针对(fc,n)阈值的CRTSIS方法。我们的方法无需辅助加密即可实现灰度图像的(k,n)阈值和无损恢复。分析和实验表明该方法的有效性。

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