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Reseach Article

Partial Image Encryption based on Block wise Shuffling using Arnold Map

by Nilesh Y. Choudhary, Ravindra K. Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 10
Year of Publication: 2014
Authors: Nilesh Y. Choudhary, Ravindra K. Gupta
10.5120/17045-7356

Nilesh Y. Choudhary, Ravindra K. Gupta . Partial Image Encryption based on Block wise Shuffling using Arnold Map. International Journal of Computer Applications. 97, 10 ( July 2014), 33-37. DOI=10.5120/17045-7356

@article{ 10.5120/17045-7356,
author = { Nilesh Y. Choudhary, Ravindra K. Gupta },
title = { Partial Image Encryption based on Block wise Shuffling using Arnold Map },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 10 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number10/17045-7356/ },
doi = { 10.5120/17045-7356 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:46.693522+05:30
%A Nilesh Y. Choudhary
%A Ravindra K. Gupta
%T Partial Image Encryption based on Block wise Shuffling using Arnold Map
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 10
%P 33-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To prevent image from unauthorized access, Encryption techniques of digital images play a very important role . The Fully image encryption techniques is very complex in nature and takes a lot of computational time. But, certain applications do not require total encryption; it requires a part of the multimedia data to be transparent to all users, like Pay-TV or Payable Internet Imaging Albums which involves encrypting the most meaningful parts of an image. In this paper we focus on a partial image encryption technique based on block wise shuffling with the help of Arnold map . Firstly image is divided into blocks then Blocks within the image are permuted by using Arnold map and final permuted block are combined that yields partial encrypted images . This process is repeated for different block size. The PSNR and NPCR obtained by our technique shows that the proposed technique gives better result than the existing techniques.

References
  1. I. Öztürk and I. Sogukp?nar, "Analysis and comparison of image encryption algorithms", Transactions on Engineering, Computing and Technology, vol. 3, pp. 1305-5313, 2004.
  2. Aloha Sinha, Kehar Singh, "A technique for image encryption using digital signature", Optics Communications, Vol-2 I 8 (2203),229-234.
  3. Osama A. KHASHAN, Abdullah M. ZIN, Elankovan SUNDARARAJAN," Performance study of selective encryption in comparison to full encryption for still visual images" Journal of Zhejiang University-SCIENCE C (Computers & Electronics),2014.
  4. Marc Van Droogenbroeck and Raphal Benedett, Techniques for a selective encryption of uncompressed and compressed images,Proceedings of ACIVS 2002 (Advanced Concepts for Intelligent Vision Systems), Ghent, Belgium, September 9-11, 2002
  5. Roman Pfarrhofer and Andreas Uhl, Selective Image Encryption Using JBIG, IFIP International Federation for Information Processing 2005.
  6. Tao Xiang, Kwok-wo Wong, and Xiaofeng Liao, Selective image en- cryption using a spatiotemporal chaotic system, American Institute of Physics 2007.
  7. Nidhi S Kulkarni, Balasubramanian Raman, and Indra Gupta, Selective encryption of multimedia images, NSC 2008, December 17-19, 2008.
  8. Zahia Brahimi, Hamid Bessalah, A. Tarabet, M. K. Kholladi, Selective Encryption Techniques of JPEG2000 Codestream for Medical Images Transmission, WSEAS Transactions on Circuits and Systems Issue 7, Volume 7, July 2008 .
  9. Priyanka Agrawal and Manisha Rajpoot, A Fast and Secure Selective Encryption Scheme using Grid Division Method, IJCA vol. 51 no. 4,pp29-33, Aug -2012.
  10. Gaurav Bhatnagar , Q. M. Jonathan Wu, Selective image encryption based on pixels of interest and singular value decomposition, Digital Signal Processing 22 (2012) 648663.
  11. Panduranga H T, Dr. Naveenkumar S K, Kiran," Partial Image Encryption using block wise shuffling and chaotic map", Proceedings of International Conference on Optical Imaging Sensor and Security, Coimbatore, Tamil Nadu, India, July 2-3, 2013.
  12. W. Ding, W. Q. Yan, D. X. Qi, "Digital Image Scrambling Technology Based on Arnold Transformation " .
  13. Jawad Ahmad and Fawad Ahmed, Efficiency Analysis and Security Evaluation of Image Encryption Schemes International Journal of Video & Image Processing and Network Security IJVIPNS-IJENS Vol: 12 No: 04.
  14. Yue Wu, Joseph P. Noonan, and Sos Agaian, NPCR and UACI Ran- domness Tests for Image Encryption Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), April Edition, 2011.
  15. Zhou Wang, Alan C. Bovik, A universal image quality index, IEEE signal processing Letters, Vol. xx, No, Y, March 2002.
Index Terms

Computer Science
Information Sciences

Keywords

Partial Image Encryption Arnold map NPCR MSE Logistic map