Results 51 to 60 of about 2,970 (157)

The (n, n) Visual Multi-Secrets Sharing Scheme with Abilities of OR and XOR Decryption

Engineering Proceedings
Naor and Shamir introduced the fundamental concept of visual cryptography (VC) in 1994. In that model, the secret image is split into two meaningless shares, allowing the secret to be revealed and recognized by the human eye just by superimposing the two
An-Hui Lo, Justie Su-Tzu Juan
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SECURE VISUAL SECRET SHARING BASED ON DISCRETE WAVELET TRANSFORM [PDF]

ICTACT Journal on Image and Video Processing, 2015
Visual Cryptography Scheme (VCS) is an encryption method to encode secret written materials. This method converts the secret written material into an image. Then encode this secret image into n shadow images called shares.
S. Jyothi Lekshmi, A. R. Anil
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Sharing a Secret Image with Encapsulated Shares in Visual Cryptography

Procedia Computer Science, 2015
AbstractDue to advances in digital world, security has become an inseparable issue while transmitting the image. Visual cryptography (VC) is a modern cryptographic technique which is used to the secret image is shared securely and also its information is maintained with utmost confidentiality.
Shankar K., , Eswaran P.,
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DIGITAL COLOR IMAGE ENCRYPTION BASED ON INVERTIBLE MATRIX WITH SECRET SHARING [PDF]

ICTACT Journal on Image and Video Processing, 2013
This paper explores the new approach to implement image encryption in digital color images. The self invertible matrix created from the original image is used as keys for the RGB to YCbCr transform and the secret sharing operations.
W.R. Sam Emmanuel, C. Edward Jaya Singh
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Emerging Trends in Visual Secret Sharing

International Journal of Engineering & Technology, 2018
Visual Secret Sharing (VSS) is an increased applicability of traditional secret sharing. In VSS, the secret information is recovered by human visual system or lightweight computational device. There are two models available in VSS, one is Visual Cryptography (VC) which is introduced by Naor's in 1994 and other is a Random Grid (RG) based VSS which is ...
Mainejar Yadav, Ranvijay .
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Magic sheets: Visual cryptography with common shares

Computational Visual Media, 2018
Visual cryptography (VC) is an encryption technique for hiding a secret image in distributed and shared images (referred to as shares). VC schemes are employed to encrypt multiple images as meaningless, noisy patterns or meaningful images.
Naoki Kita, Kazunori Miyata
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Visual Secret Sharing Using Cryptography

International Journal of Engineering Research, 2014
The Visual Cryptography Scheme (VCS) is a kind of secret sharing scheme that focuses on sharing secret im- ages. The basic idea of the visual cryptography scheme is to split a secret image into number of random shares (printed on transparencies) which separately reveals no information about the secret image other than the size of the secret image.
Shital B. Pawar, Prof.N.M. Shahane
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Meaningful And Unexpanded Shares For Visual Secret Sharing Schemes

, 2015
In today s internet world it is very essential to secretly share biometric data stored in the central database. There are so many options to secretly share biometri c data using cryptographic computation. This work reviews and applies a perfectly secure method to secretly share biometric data,for possible use in biometric authentication and protection ...
Mr. V.B.Phadtare,, Dr. V.R. Ghorpade
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A New Repeating Color Watermarking Scheme Based on Human Visual Model

EURASIP Journal on Advances in Signal Processing, 2004
This paper proposes a human-visual-model-based scheme that effectively protects the intellectual copyright of digital images. In the proposed method, the theory of the visual secret sharing scheme is used to create a master watermark share and a secret ...
Chang Chin-Chen, Tsai Chwei-Shyong
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A Strongly Robust Secret Image Sharing Algorithm Based on QR Codes

Algorithms
Secret image sharing (SIS) is an image protection technique based on cryptography. However, traditional SIS schemes have limited noise resistance, making it difficult to ensure reconstructed image quality.
Pengcheng Huang, Canyu Chen, Xinmeng Wan
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