Visual Encryption Using Bit Shift Technique

P. Sharma¹ , D. Mishra² , V.K. Sarthi³ , P. Bhatpahri⁴ , R. Shrivastava⁵

1. Dept. of Computer Science and Engineering, ICFAI University, Kumhari, India.
2. Dept. of Mechanical Engineering, ICFAI University, Kumhari, India.
3. Dept. of Computer Science and Engineering, Govt. Polytechnic College, Jagdalpur, India.
4. Department of Physics, ICFAI University, Kumhari, India.

Correspondence should be addressed to: ravishrivastava95@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.57-61, Jun-2017

Online published on Jun 30, 2017

Copyright © P. Sharma, D. Mishra, V.K. Sarthi, P. Bhatpahri, R. Shrivastava . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In present paper we report an effective method of scrambling an image, which can be used as one of the important tool in visual cryptography. A sample image is scrambled using bit shift technique using specific algorithm. The considered algorithm was explained using a matrix representation, taking an 8 x 8 sample matrix. Intensity distribution and toner distributions of scrambled images were studied using their histograms. The results of histogram of an image, in which, each pixel was shifted 4 places left, using bit shift technique, expressed that the toner distribution is uniform throughout. In order to judge the complexity level of scrambling, horizontal and vertical correlation of adjacent pixels and of 4 bit shifted scrambled images were also calculated. Values of horizontal and vertical correlation coefficients were also calculated, which reflected that the complexity and randomness of pixels increases with increasing stages of scrambling which supports the result obtained in histogram. This technique of encryption can be used as a very useful tool in digital security system.

Key-Words / Index Term :
Cryptography, Matrix Algorithms, Scrambling, Horizontal and Vertical Correlation

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