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Extended Capabilities for XOR-Based Visual Cryptography

机译:基于XOR的可视密码的扩展功能

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摘要

The XOR-based visual cryptography (VC) is a possible methodology to solve the poor visual quality problem without darkening the background in VC. However, investigations on XOR-based VC are not sufficient. In this paper, we exploit some extended capabilities for XOR-based VC. Actually, two XOR-based VC algorithms are proposed, namely XOR-based VC for general access structure (GAS) and adaptive region incrementing XOR-based VC. The first algorithm aims to implement complicated sharing strategy using GAS, while maintaining merits such as perfect reconstruction of secret, no pixel expansion, and no code book requirement. In the second algorithm, the concept of adaptive security level is first introduced, where the security levels are recovered in accordance with the qualified sets instead of the quantity of stacked shares. Adaptive region incrementing XOR-based VC further enriches the application scenarios. Theoretical analysis on the proposed algorithms are provided, as well as extensive experimental results and evaluations for demonstrating the effectiveness and advantages of the two methods.
机译:基于XOR的视觉加密(VC)是解决视觉质量差的问题而又不使VC的背景变暗的一种可能方法。但是,对基于XOR的VC的研究还不够。在本文中,我们为基于XOR的VC开发了一些扩展功能。实际上,提出了两种基于XOR的VC算法,即通用访问结构(GAS)的基于XOR的VC和基于XOR的自适应区域递增的VC。第一种算法旨在使用GAS实施复杂的共享策略,同时保持诸如完美重建秘密,无像素扩展和无需代码本等优点。在第二种算法中,首先引入了自适应安全级别的概念,其中根据限定的集合而不是堆叠的份额的数量来恢复安全级别。自适应区域增量基于XOR的VC进一步丰富了应用场景。提供了所提出算法的理论分析,并给出了广泛的实验结果和评价,以证明这两种方法的有效性和优势。

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