Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes

Author:

Liu Zuquan1,Zhu Guopu2,Ding Feng3,Luo Xiangyang4,Kwong Sam5,Li Peng6

Affiliation:

1. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences and Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China

2. School of Computer Science and Technology, Harbin Institute of Technology and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Harbin, China

3. School of Software, Nanchang University, Nanchang, China

4. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China

5. Department of Computer Science, City University of Hong Kong, Hong Kong, China

6. Department of Mathematics and Physics, North China Electric Power University, Baoding, China

Abstract

In traditional visual cryptography schemes (VCSs), pixel expansion remains to be an unsolved challenge. To alleviate the impact of pixel expansion, several colored-black-and-white VCSs, called CBW-VCSs, were proposed in recent years. Although these methods could ease the effect of pixel expansion, the reconstructed image obtained by these methods may also suffer from low contrasts. To address this issue, we propose a contrast-enhanced (k, n) CBW-VCS based on random grids, named (k,n) RG-CBW-VCS, in this article. By applying color random grids, a binary secret image is encrypted into n color shares that have no pixel expansion. When any k 1 (k 1 > k ) color shares are collected together, the stacked results of them can be identified as the secret image; whereas the superposition of any k 2 ( k 2 < k ) color shares shows nothing. Through theoretical analysis and experimental results, we justify the effectiveness of the proposed (k, n) RG-CBW-VCS. Compared with related methods in feature, contrast, and pixel expansion, the results indicate that the proposed method generally achieves better performance.

Funder

National Natural Science Foundation of China

Zhongyuan Science and Technology Innovation Leading Talent Project of China

Tip-top Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program

Basic Research Program of Shenzhen

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Compressed hyperspectral imaging based on residual-spectral attention mechanism and similar image prior;Optics and Lasers in Engineering;2024-09

2. Size Invariant Visual Cryptography Schemes With Evolving Threshold Access Structures;IEEE Transactions on Multimedia;2024

3. Sharing Visual Secrets Among Multiple Groups With Enhanced Performance;IEEE Transactions on Circuits and Systems for Video Technology;2023-11

4. Enhancement of Information Carrying and Decoding for Visual Cryptography with Error Correction;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-09-18

5. A hybrid approach combining data hiding with visual cryptography for secure extraction of data hiding;Journal of Information Security and Applications;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3