基于二维格的大小不变视觉密码的块半调

Jincheng Zhou, Sian-Jheng Lin
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引用次数: 0

摘要

视觉密码学(VC)将一个秘密图像编码成多个透明图像。秘密图像可以通过叠加这些透明度的子集来显示。然而,当秘密图像中的一个像素被编码成多个像素时,像素扩展问题是VCs的关键问题。为了解决这个问题,人们提出了许多规模不变的风险投资。但是,现有的规模不变风险投资存在一些缺陷。i)输入图像是二值图像,而不是灰度图像。ii)有些方案不是($k, n$) - VC。iii)恢复的图像质量较差。在二维格的基础上,提出了一种尺寸不变VC的块半色调技术。特别地,提出的块误差扩散以灰度图像作为输入。它适用于任何像素扩展。实验结果表明,所提出的半色调叠加技术比以往常见的概率叠加技术具有更好的视觉效果。
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Block Halftoning for Size-Invariant Visual Cryptography Based on Two-Dimensional Lattices
Visual cryptography (VC) encodes a secret image into multiple transparencies. The secret image can be revealed by stacking a subset of these transparencies. However, the pixel expansion problem is a critical issue for VCs as a pixel in the secret image is encoded into multiple pixels. To solve this problem, many size-invariant VCs have been proposed. But there are some drawbacks in the existing size-invariant VCs. i) The input image is a binary image rather than a grayscale image. ii) Some schemes are not a ($k, n$) - VC. iii) The quality of recovered image is poor. Based on two-dimensional lattices, a block halftone technology for a size-invariant VC is proposed. In particular, the proposed block error diffusion takes a grayscale image as the input. It is adaptable to any pixel expansion. The experiments show that the proposed halftone technique has a better visual quality for the stacking results than prior common schemes, such as probabilistic schemes.
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