
Proceedings Paper
Formulation, analysis, and hardware implementation of chaotic dynamics based algorithm for compression and feature recognition in digital imagesFormat | Member Price | Non-Member Price |
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Paper Abstract
In this paper we will discuss the utilization of a set of waveforms derived from chaotic dynamical systems for
compression and feature recognition in digital images. We will also describe the design and testing of an embedded
systems implementation of the algorithm. We will show that a limited set of combined chaotic oscillations are sufficient
to form a basis for the compression of thousands of digital images. We will demonstrate this in the analysis of images
extracted from the solar heliospheric observatory (SOHO), showing that we are able to detect coronal mass ejections
(CMEs) in quadrants of the image data during a severe solar event. We undertake hardware design in order to optimize
the speed of the algorithm, taking advantage of its parallel nature. We compare the calculation speed of the algorithm in
compiled C, enhanced Matlab, Simulink, and in hardware.
Paper Details
Date Published: 19 February 2013
PDF: 14 pages
Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550C (19 February 2013); doi: 10.1117/12.2001152
Published in SPIE Proceedings Vol. 8655:
Image Processing: Algorithms and Systems XI
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)
PDF: 14 pages
Proc. SPIE 8655, Image Processing: Algorithms and Systems XI, 86550C (19 February 2013); doi: 10.1117/12.2001152
Show Author Affiliations
Chance M. Glenn, Alabama A&M Univ. (United States)
Rochester Institute of Technology (United States)
Srikanth Mantha, Rochester Institute of Technology (United States)
Sajin George, Rochester Institute of Technology (United States)
Rochester Institute of Technology (United States)
Srikanth Mantha, Rochester Institute of Technology (United States)
Sajin George, Rochester Institute of Technology (United States)
Deepti Atluri, Rochester Institute of Technology (United States)
Antonio F. Mondragon-Torres, Rochester Institute of Technology (United States)
Antonio F. Mondragon-Torres, Rochester Institute of Technology (United States)
Published in SPIE Proceedings Vol. 8655:
Image Processing: Algorithms and Systems XI
Karen O. Egiazarian; Sos S. Agaian; Atanas P. Gotchev, Editor(s)
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