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Proceedings Paper

A novel method of testing image randomness with applications to image shuffling and encryption
Author(s): Yue Wu; Sos Agaian; Joseph P. Noonan
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Paper Abstract

This paper discusses the problem of testing the degree of randomness within an image, particularly for a shuffled or encrypted image. Its key contributions are: 1) a mathematical model of perfectly shuffled images; 2) the derivation of the theoretical distribution of pixel differences; 3) new hypothesis tests based approach to differentiate whether or not a test image is perfectly shuffled; and 4) a randomized algorithm to unbiasedly evaluate the degree of image randomness. Simulation results show that the proposed method is robust and effective in evaluating the degree of image randomness, and may often be more suitable for image applications than commonly used testing schemes designed for binary data like NIST 800-22 test suites. The developed method may be also useful as a first step to determine whether or not an image shuffling or encryption scheme is suitable for a particular cryptographic application.

Paper Details

Date Published: 28 May 2013
PDF: 12 pages
Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 875507 (28 May 2013); doi: 10.1117/12.2018736
Show Author Affiliations
Yue Wu, Tufts Univ. (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)
Joseph P. Noonan, Tufts Univ. (United States)


Published in SPIE Proceedings Vol. 8755:
Mobile Multimedia/Image Processing, Security, and Applications 2013
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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