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arXiv 0712.4183cs.CRcs.CV
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灰度图像和彩色图像的概率视觉秘密共享方案

Probabilistic Visual Secret Sharing Schemes for Gray-scale images and Color images

Dao-Shun Wang, Feng Yi, Xiaobo Li

摘要:

视觉秘密共享(VSS)是一种利用人类视觉系统恢复秘密图像的加密技术,它不需要任何复杂的计算。像素扩展一直是VSS方案的主要问题。针对二值秘密图像,已经提出了许多具有最小像素扩展的概率VSS方案。本文提出了一种适用于灰度图像的通用概率(k,n)-VSS方案和一种适用于彩色图像的方案。使用我们的方案,像素扩展可以设置为用户定义的值。当此值为1时,根本没有像素扩展。用平均相对差来衡量重建秘密图像的质量,与现有确定性方案的相对差相当。以前的概率VSS计划的黑白图像的像素扩展可以被视为特殊情况下,提出的计划在这里

英文摘要:

Visual secrete sharing (VSS) is an encryption technique that utilizes human visual system in the recovering of the secret image and it does not require any complex calculation. Pixel expansion has been a major issue of VSS schemes. A number of probabilistic VSS schemes with minimum pixel expansion have been proposed for binary secret images. This paper presents a general probabilistic (k, n)-VSS scheme for gray-scale images and another scheme for color images. With our schemes, the pixel expansion can be set to a user-defined value. When this value is 1, there is no pixel expansion at all. The quality of reconstructed secret images, measured by Average Relative Difference, is equivalent to Relative Difference of existing deterministic schemes. Previous probabilistic VSS schemes for black-and-white images with respect to pixel expansion can be viewed as special cases of the schemes proposed here

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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