Cited By
View all- Ibrahim DTeh JAbdullah R(2021)An overview of visual cryptography techniquesMultimedia Tools and Applications10.1007/s11042-021-11229-980:21-23(31927-31952)Online publication date: 1-Sep-2021
An Optimized Halftone Visual Cryptography Scheme Using Error Diffusion
Pages 24937 - 24953
Abstract
Halftone Visual Cryptography (HVC) is an encryption technique that encodes the secret image into halftone images in order to produce secure meaningful shares. Many methods have been proposed for developing HVC to protect the security of the images. Yet, these methods still have some problems such as poor visual quality of shares, large pixel expansion, interference of secret image on shared images, and interference shared images on retrieved image. To solve such problems, an optimized HVC scheme (OHVCS) using Error Diffusion (ED) is proposed in this paper. The proposed scheme eliminates the explicit requirement of codebook and reduces the random patterns of the shared images, as it encodes only the black pixels of the secret image, taking into account that the pixel expansion is the smallest size to be used. Moreover, it performs the basic concept of Visual Cryptography (VC); therefore, the security of the construction scheme is assured. The experimental results, performance evaluation through statistical analysis, and comparison with some existing schemes in various aspects of HVC show the effectiveness of the proposed scheme.
References
[1]
Alex NS, Anbarasi LJ (2011) Enhanced image secret sharing via error diffusion in halftone visual cryptography. 2011 3rd International Conference on Electronics Computer Technology, Kanyakumari: 393---397.
[2]
Askari N, Heys HM, Moloney CR (2013) An extended visual cryptography scheme without pixel expansion for halftone images. 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK: 1---6.
[3]
Hodeish ME, Humbe VT (2014) State-of-the-Art visual cryptography schemes. International Journal of Electronics Communication and Computer Engineering 5:412---420
[4]
Hodeish ME, Bukauskas L, Humbe VT (2016) An Optimal (k, n) Visual Secret Sharing Scheme for Information Security. Procedia Computer Science 93:760---767
[5]
Hou Y-C, Wei S-C, Lin C-Y (2014) Random-Grid-Based Visual Cryptography Schemes. Circuits and Systems for Video Technology, IEEE Transactions 24(5):733---744.
[6]
Jarvis JF, Judice CN, Ninke WH (1976) A survey of techniques for the display of continuous tone pictures on bilevel displays. Computer Graphics and Image Processing 5(1):13---40
[7]
Kumar P, Agarwal S, Shivani S (2014) Halftone Visual Cryptography with Pixel Expansion through Error Diffusion. International Journal of Information & Computation Technology 4:1419---1427
[8]
Lee KH, Chiu PL (2012) An extended visual cryptography algorithm for general access structures. IEEE transactions on information forensics and security 7(1):219---229.
[9]
Lin W, Kuo CCJ (2011) Perceptual visual quality metrics: A survey. J Vis Commun Image Represent 22(4):297---312
[10]
Liu F, Wu C (2011) Embedded Extended Visual Cryptography Schemes. IEEE Transactions on Information Forensics and Security 6(2):307---322.
[11]
Mishra SK and Biswaranjan K (2015) Extended visual cryptography for general access structures using random grids," 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Kochi: 1924---1929.
[12]
Nagaveena DD, Kumar SCP (2013) Vessels Segmentation in Diabetic Retinopathy by Adaptive Median Thresholding. The International Journal of Science & Technoledge 1(1):17---22
[13]
Naor M, Shamir A (1994) Visual cryptography. In: Workshop on the Theory and Application of Cryptographic Techniques. Springer, Berlin, pp 1---12
[14]
Nouri R, Mansouri A (2017) Digital image steganalysis based on the reciprocal singular value curve. Multimedia Tools and Applications 76(6):8745---8756.
[15]
Ouni S, Chambah M, Herbin M, Zagrouba E (2008) Are existing procedures enough? Image and video quality assessment: review of subjective and objective metrics. Image Quality and System Performance V (Vol. 6808, p. 68080Q). International Society for Optics and Photonics
[16]
Sangeetha Devi E (2010) Enhanced visual secret sharing scheme via halftoning technique. 2010 International Conference on Communication Control And Computing Technologies, Ramanathapuram: 769---776.
[17]
Satir E, Isik H (2014) A Huffman compression based text steganography method. Multimedia tools and applications 70(3):2085---2110.
[18]
Shivani S, Agarwal S (2016) VPVC: verifiable progressive visual cryptography. Pattern Anal Applic: 1---28.
[19]
Ulichney RA (1988) Dithering with blue noise. In: Proceedings of the IEEE. 76(1):56---79.
[20]
Wang Z, Bovik AC (2002) A universal image quality index, IEEE Signal Process. Lett 9(3):81---84.
[21]
Wang Z, Sheikh HR, Bovik AC (2003) Objective video quality assessment. The handbook of video databases: design and applications 41:1041---1078
[22]
Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600---612.
[23]
Wang Z, Arce GR, Di Crescenzo G (2009) Halftone Visual Cryptography Via Error Diffusion. IEEE Transactions on Information Forensics and Security 4(3):383---396.
[24]
Xia Z, Wang X, Sun X, Liu Q, Xiong N (2016) Steganalysis of LSB matching using differences between nonadjacent pixels. Multimedia Tools and Applications 75(4):1947---1962.
[25]
Yan X, Wang S, Niu X, Yang CN (2015) Halftone visual cryptography with minimum auxiliary black pixels and uniform image quality. Digital Signal Processing 38:53---65
[26]
Zhi Z, Arce GR, Di Crescenzo G (2006) Halftone visual cryptography. IEEE Trans Image Process 15(8):2441---2453.
- An Optimized Halftone Visual Cryptography Scheme Using Error Diffusion
Recommendations
Halftone visual cryptography via error diffusion
Halftone visual cryptography (HVC) enlarges the area of visual cryptography by the addition of digital halftoning techniques. In particular, in visual secret sharing schemes, a secret image can be encoded into halftone shares taking meaningful visual ...
Halftone visual cryptography
Visual cryptography encodes a secret binary image (SI) into n shares of random binary patterns. If the shares are xeroxed onto transparencies, the secret image can be visually decoded by superimposing a qualified subset of transparencies, but no secret ...
Halftone visual cryptography with color shares
GRC '12: Proceedings of the 2012 IEEE International Conference on Granular Computing (GrC-2012)Halftone visual cryptography (HVC) is a visual sharing scheme where a secret image is encoded into halftone shares taking meaningful visual information. In this paper, a HVC construction method is proposed that can encode a secret halftone image into ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © Copyright © 2018 Springer Science+Business Media, LLC, part of Springer Nature.
Publisher
Kluwer Academic Publishers
United States
Publication History
Published: 01 October 2018
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 30 Jan 2025
Other Metrics
Citations
Cited By
View all- Ibrahim DTeh JAbdullah R(2021)An overview of visual cryptography techniquesMultimedia Tools and Applications10.1007/s11042-021-11229-980:21-23(31927-31952)Online publication date: 1-Sep-2021