Results 221 to 230 of about 1,969 (259)

Visual cryptography via halftoning

SPIE Proceedings, 2003
Visual cryptography encodes a secret binary image SI into n shares of random binary patterns. The secret image can be visually decoded by superimposing a qualified subset of shares, but no secret information can be obtained from the superposition of a forbidden subset. Such a scheme is mathematically secure, however, the binary patterns of the n shares
Gonzalo R. Arce, Zhi Zhou, Giovanni Di Crescenzo   +2 more
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Visual cryptography: A brief survey

Information Security Journal: A Global Perspective, 2017
Visual cryptography is an emerging technology to address the concerns regarding privacy of images.
P. Punithavathi, S. Geetha 0001
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On the Randomness of Visual Cryptography Scheme

2013 Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013
The randomness of visual cryptography scheme (VCS) measures at least how many random bits are required to encode a secret pixel. In this paper, the randomness of decomposition-based VCS proposed by Ateniese et al. is reduced significantly.
Teng Guo 0005, Feng Liu 0001, Chuan Kun Wu, YaWei Ren, Wen Wang 0008   +4 more
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Plane Transform Visual Cryptography

2011
Plane transformation visual cryptography takes a unique approach to some of the current shortcomings of current visual cryptography techniques. Typically, the direction and placement of the encrypted shares is critical when attempting to recover the secret. Many schemes are highly dependant on this stacking order.
Jonathan Weir, WeiQi Yan 0001
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Visual Cryptography Schemes with Reversing

The Computer Journal, 2008
The Visual cryptography scheme (VCS) is a perfect secure method that encrypts a secret image by breaking it into shadow images. A distinctive property of VCS is that one can visually, without computation, decode the secret by superimposing shadow images. However, much of the contrast of the reconstructed image is lost.
Ching-Nung Yang, Chung-Chun Wang, Tse-Shih Chen   +2 more
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A Weighted Threshold Visual Cryptography

2019
Over the past years, a visual secret sharing scheme gave each share the same ability to reconstruct the secret image. That means each participant had the same significance to reveal the secret. However, it is not realistic in real world for some applications.
Tai-Yuan Tu, Tzung-Her Chen, Ji-Min Yang, Chih-Hung Wang   +3 more
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Visual Cryptography in reversible style

Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
We proposed in this paper a brand new type of visual cryptography (VC), namely, the VC in reversible style. For any two given secret images, two corresponding transparencies S1 and S2, also known as shares, can be produced. Both transparencies look noisy.
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Structure Aware Visual Cryptography

Computer Graphics Forum, 2014
AbstractVisual cryptography is an encryption technique that hides a secret image by distributing it between some shared images made up of seemingly random black‐and‐white pixels. Extended visual cryptography (EVC) goes further in that the shared images instead represent meaningful binary pictures. The original approach to EVC suffered from low contrast,
Bin Liu, Ralph R. Martin, Ji-Wu Huang, Shi-Min Hu 0001   +3 more
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Collaborative Visual Cryptography Schemes

IEEE Transactions on Circuits and Systems for Video Technology, 2018
A ( $k,n$ )-conventional visual cryptography (VC) scheme is designed to share one secret and each participant takes one share. When some common participants are involved in multiple VC schemes for multiple secrets, each needs to take multiple shares. This procedure needs more shares, which is inconvenient.
Xingxing Jia, Daoshun Wang, Daxin Nie, Chaoyang Zhang   +3 more
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A Secret Enriched Visual Cryptography

2013
Visual Cryptography (VC) is a powerful technique that combines the notions of perfect ciphers and secret sharing in cryptography with that of raster graphics. A binary image can be divided into shares that are able to be stacked together so as to approximately recover the original image.
Feng Liu 0001, Wei Qi Yan 0001, Peng Li, Chuan Kun Wu   +3 more
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