Paper
3 March 2008 Two Fibonacci P-code based image scrambling algorithms
Author Affiliations +
Proceedings Volume 6812, Image Processing: Algorithms and Systems VI; 681215 (2008) https://doi.org/10.1117/12.766591
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yicong Zhou, Sos Agaian, Valencia M. Joyner, and Karen Panetta "Two Fibonacci P-code based image scrambling algorithms", Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 681215 (3 March 2008); https://doi.org/10.1117/12.766591
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CITATIONS
Cited by 33 scholarly publications.
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KEYWORDS
Image encryption

Matrices

Image compression

Reconstruction algorithms

Computer security

Video

Information security

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