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Improved Extended Polynomial-Based Secret Image Sharing Scheme Using QR Code

机译:使用QR码的改进的基于扩展多项式的秘密图像共享方案

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摘要

Secret image sharing technology is an effective approach to encode the secret image into several shares, and the original image can be recovered by the remaining shares even some shares are lost. As a typical two-dimensional machine reada-ble code, QR code is widely used in human life due to its fast reading speed, high data density and strong error correction capability. Combined with the characteristics of QR code and secret image sharing, an extended secret image sharing scheme was proposed based on QR code, where "extended" means that the generated shares were visually similar to the QR code. The main idea is to control the parameters' selec-tion of polynomial using the binary QR codes. Meanwhile, the average gray difference of the shares was defined as α to measure the similarity between QR-like shares and the origi-nal carrier QR codes. Based on α, a secret sharing algorithm was designed to generate QR-like shares. At last, upper and lower limits of α are introduced through experimental analy-sis, and the relationship between the error correction level of carrier QR code and the lower limit of α.
机译:秘密图像共享技术是一种将秘​​密图像编码为多个份额的有效方法,即使丢失了一些份额,剩余的份额也可以恢复原始图像。 QR码作为一种典型的二维机器可读代码,由于其读取速度快,数据密度高和强大的纠错能力而被广泛应用于人类生活中。结合QR码和秘密图像共享的特点,提出了一种基于QR码的扩展秘密图像共享方案,其中“扩展”表示生成的共享在视觉上类似于QR码。主要思想是使用二进制QR码控制多项式的参数选择。同时,将股票的平均灰度差定义为α,以测量QR类股票与原始运营商QR码之间的相似度。基于α,设计了一种秘密共享算法来生成类似QR的共享。最后,通过实验分析,介绍了α的上下限,以及载波QR码的纠错水平与α的下限之间的关系。

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