Random Grid and Deterministic Visual Cryptography with Enhanced color patterns

Visual Cryptography Scheme (VCS) is an encryption method used to encode secret written materials. It converts the written material into a binary image and encode this image in to 'n' shadow image. This image is called as share images. The decoding process requires selecting some subset of the n shadow images, and stacking them on top of each other. Each user holds a transparency. The previous research works on visual cryptography focuses on two parameters: large pixel expansion and contrast. Further, the number of sub pixels (m) for encoding each secret pixel, referred to as the pixel expansion, is to be reduced. The pixel expansion and relative contrast are the most critical measurements to evaluate the effectiveness of a VCS[17]. In this paper we develop a novel and efficient construction for Random Grid and DVCS which aims at the minimization of the pixel expansion and maximal contrasts for individual VC. The Experimental result is expected to have better feasibility and flexibility of our construction. The pixel expansions and obtained in our scheme are better than the previous results.

[1]  Pei-Ling Chiu,et al.  An Extended Visual Cryptography Algorithm for General Access Structures , 2012, IEEE Transactions on Information Forensics and Security.

[2]  Tzung-Her Chen,et al.  Visual secret sharing by random grids revisited , 2009, Pattern Recognit..

[3]  Ch.-H. Lin,et al.  A batch image encryption scheme based on chaining random grids , 2013, Sci. Iran..

[4]  J. Amudhavel,et al.  Interpretation and evaluation of various hybrid energy aware technologies in cloud computing environment — A detailed survey , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[5]  Young-Chang Hou,et al.  Visual cryptography for color images , 2003, Pattern Recognit..

[6]  Wei-Ho Chung,et al.  A Probabilistic Model of $(t,n)$ Visual Cryptography Scheme With Dynamic Group , 2012, IEEE Transactions on Information Forensics and Security.

[7]  Pei-Ling Chiu,et al.  A Simulated Annealing Algorithm for General Threshold Visual Cryptography Schemes , 2011, IEEE Transactions on Information Forensics and Security.

[8]  J. Amudhavel,et al.  A bio inspired Energy-Aware Multi objective Chiropteran Algorithm (EAMOCA) for hybrid cloud computing environment , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[9]  P. Dhavachelvan,et al.  Effective Maintenance of Replica in Distributed Network Environment Using DST , 2010, 2010 International Conference on Advances in Recent Technologies in Communication and Computing.

[10]  Feng Liu,et al.  Improving the visual quality of size invariant visual cryptography scheme , 2012, J. Vis. Commun. Image Represent..

[11]  Chuankun Wu,et al.  Embedded Extended Visual Cryptography Schemes , 2011, IEEE Transactions on Information Forensics and Security.

[12]  HouYoung-Chang,et al.  Progressive Visual Cryptography With Unexpanded Shares , 2011 .

[13]  J. Amudhavel,et al.  A heuristic fault tolerant MapReduce framework for minimizing makespan in Hybrid Cloud Environment , 2014, 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE).

[14]  Feng Liu,et al.  Step Construction of Visual Cryptography Schemes , 2010, IEEE Transactions on Information Forensics and Security.

[15]  Young-Chang Hou,et al.  Progressive Visual Cryptography With Unexpanded Shares , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Ying-Yu Chen,et al.  Quality-adaptive visual secret sharing by random grids , 2013, J. Syst. Softw..

[17]  Giovanni Di Crescenzo,et al.  Halftone Visual Cryptography Via Error Diffusion , 2009, IEEE Transactions on Information Forensics and Security.

[18]  Tzung-Her Chen,et al.  Yet another multiple-image encryption by rotating random grids , 2012, Signal Process..

[19]  Ching-Nung Yang,et al.  Sharing more information in gray visual cryptography scheme , 2013, J. Vis. Commun. Image Represent..