用户友好的基于xor的随机网格可视化秘密共享

Tzuo-Yau Fan, H. Chao
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引用次数: 7

摘要

本研究提出了一种用户友好的基于xor的随机网格可视化秘密共享方案。在一些视觉秘密共享方案中,可能会遇到像素扩展或有噪声和无意义共享等问题。在该方案中,共享图像中的不同区域将根据封面图像的像素值具有不同的亮度水平,从而生成的共享图像包含有关封面图像的信息,而不仅仅是无意义的噪声图像。这可以克服在错误地混淆股份时恢复秘密图像的困难。此外,共享的维度与秘密图像相同,不存在像素扩展问题。恢复的秘密图像大小与原始秘密图像大小一致,且缩放没有变化。最后,虽然生成的共享中有一个是互补的封面图像,但当秘密图像被恢复时,恢复的秘密图像的图像质量仍然很好。实验和分析结果表明,该方案比其他方案更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User-friendly XOR-based visual secret sharing by random grid
This study proposes a user-friendly XOR-based visual secret sharing scheme using random grids. In some visual secret sharing schemes, problems such as pixel expansion or noisy and meaningless shares may be encountered. In the proposed scheme, different regions in the shared image will have different brightness levels depending on the cover image's pixel values so that the generated shares contain information regarding the cover image and are not just a meaningless noisy image. This can overcome the difficulty in recovering the secret image in cases wherein the shares were mixed up by mistake. Furthermore, the dimension of the share is the same as the secret image and there are no pixel expansion problems. The size of the recovered secret image is consistent with the size of the original secret image, and there are no changes in scaling. Lastly, although one of the generated share is a complementary cover image, the image quality of the recovered secret image is still favourable when the secret image is recovered. The experimental and analysis results demonstrate that the proposed scheme is more effective than other schemes.
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