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Proceedings Paper

Two Fibonacci P-code based image scrambling algorithms
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Paper Abstract

Image scrambling is used to make images visually unrecognizable such that unauthorized users have difficulty decoding the scrambled image to access the original image. This article presents two new image scrambling algorithms based on Fibonacci p-code, a parametric sequence. The first algorithm works in spatial domain and the second in frequency domain (including JPEG domain). A parameter, p, is used as a security-key and has many possible choices to guarantee the high security of the scrambled images. The presented algorithms can be implemented for encoding/decoding both in full and partial image scrambling, and can be used in real-time applications, such as image data hiding and encryption. Examples of image scrambling are provided. Computer simulations are shown to demonstrate that the presented methods also have good performance in common image attacks such as cutting (data loss), compression and noise. The new scrambling methods can be implemented on grey level images and 3-color components in color images. A new Lucas p-code is also introduced. The scrambling images based on Fibonacci p-code are also compared to the scrambling results of classic Fibonacci number and Lucas p-code. This will demonstrate that the classical Fibonacci number is a special sequence of Fibonacci p-code and show the different scrambling results of Fibonacci p-code and Lucas p-code.

Paper Details

Date Published: 3 March 2008
PDF: 12 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 681215 (3 March 2008); doi: 10.1117/12.766591
Show Author Affiliations
Yicong Zhou, Tufts Univ. (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)
Valencia M. Joyner, Tufts Univ. (United States)
Karen Panetta, Tufts Univ. (United States)

Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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