Paper
28 May 2013 A novel method of testing image randomness with applications to image shuffling and encryption
Yue Wu, Sos Agaian, Joseph P. Noonan
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Wu, Sos Agaian, and Joseph P. Noonan "A novel method of testing image randomness with applications to image shuffling and encryption", Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 875507 (28 May 2013); https://doi.org/10.1117/12.2018736
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image encryption

Image quality

Digital imaging

Image compression

Statistical modeling

Algorithms

Image analysis

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