Share Email Print
cover

Proceedings Paper

Image encryption with chaotic map and Arnold transform in the gyrator transform domains
Author(s): Jun Sang; Hongling Luo; Jun Zhao; Mohammad S. Alam; Bin Cai
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

An image encryption method combing chaotic map and Arnold transform in the gyrator transform domains was proposed. Firstly, the original secret image is XOR-ed with a random binary sequence generated by a logistic map. Then, the gyrator transform is performed. Finally, the amplitude and phase of the gyrator transform are permutated by Arnold transform. The decryption procedure is the inverse operation of encryption. The secret keys used in the proposed method include the control parameter and the initial value of the logistic map, the rotation angle of the gyrator transform, and the transform number of the Arnold transform. Therefore, the key space is large, while the key data volume is small. The numerical simulation was conducted to demonstrate the effectiveness of the proposed method and the security analysis was performed in terms of the histogram of the encrypted image, the sensitiveness to the secret keys, decryption upon ciphertext loss, and resistance to the chosen-plaintext attack.

Paper Details

Date Published: 1 May 2017
PDF: 8 pages
Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 102030P (1 May 2017); doi: 10.1117/12.2266359
Show Author Affiliations
Jun Sang, Chongqing Univ. (China)
Hongling Luo, Chongqing Univ. (China)
Jun Zhao, Huazhong Univ. of Science and Technology (China)
Mohammad S. Alam, Texas A&M Univ. (United States)
Bin Cai, Chongqing Univ. (China)


Published in SPIE Proceedings Vol. 10203:
Pattern Recognition and Tracking XXVIII
Mohammad S. Alam, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray