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Proceedings Paper

Signal compression via coordinate logic transforms
Author(s): Ethan E. Danahy; Karen A. Panetta; Sos S. Agaian
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Paper Abstract

While bandwidth and storage capabilities are increasing with advances in technology, so are the demands of users as quantities of data to transmit and store grow simultaneously. The need for effective signal compression is always present, as reduction in data size is required while maintaining minimal signal destruction. This paper presents a new signal compression scheme that uses coordinate logic transforms in combination with Boolean minimized representations. The processing of the coordinate logic transforms on signal data helps reduce unnecessary signal complexity allowing more effective data reduction during the Boolean minimized form encoding. The coordinate logic transforms are an alternate method for calculating coordinate logic filters which simplify the computational complexity through algorithmic parallelism. In this work, the combination of coordinate logic transforms with a Boolean minimized form encoding scheme allows for a new compression technique that is applicable to both binary and grayscale input images.

Paper Details

Date Published: 2 May 2007
PDF: 6 pages
Proc. SPIE 6579, Mobile Multimedia/Image Processing for Military and Security Applications 2007, 657905 (2 May 2007); doi: 10.1117/12.720055
Show Author Affiliations
Ethan E. Danahy, Tufts Univ. (United States)
Karen A. Panetta, Tufts Univ. (United States)
Sos S. Agaian, Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 6579:
Mobile Multimedia/Image Processing for Military and Security Applications 2007
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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