1 October 2005 Chaotic gray-level image transformation
Author Affiliations +
Abstract
We deal with the applications of a class of nonlinear dynamic systems to image transformation and encoding whereby the nonlinear system presents a chaotic or hyperchaotic attractor. Several ways are possible to encode or transform the image using chaos. We develop algorithms for image encoding based on the permutation of the pixel value, position, or both. This approach enables the fast decorrelation of relations among pixels in the initial image in a random-like fashion. We illustrate the use of 1-D, 2-D, and 3-D maps for this purpose. We also use chaotic dynamical systems with a single or two outputs. A discussion of the sensitivity of the algorithms to the keys is followed by the illustration of the algorithms using example images.
© (2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Fethi Belkhouche, Fethi Belkhouche, Ibrahim Gokcen, Ibrahim Gokcen, Uvais A. Qidwai, Uvais A. Qidwai, } "Chaotic gray-level image transformation," Journal of Electronic Imaging 14(4), 043001 (1 October 2005). https://doi.org/10.1117/1.2135792 . Submission:
JOURNAL ARTICLE
9 PAGES


SHARE
RELATED CONTENT

Fractal equations and their solutions
Proceedings of SPIE (June 10 1993)
Complete parametric scalar dispersion
Proceedings of SPIE (January 05 2008)
Overview of chaos and communications research
Proceedings of SPIE (November 18 1993)
Control of trajectories of the kicked logistic map
Proceedings of SPIE (March 01 1994)
Solution of fractal equation
Proceedings of SPIE (March 03 1995)
Image compression and SANN equations
Proceedings of SPIE (September 02 1993)

Back to Top