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Proceedings Paper

Image representation and compression via adaptive multi-Gabor representations
Author(s): Shidong Li
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Paper Abstract

We present some initial study results on image representation and compression using multi-Gabor representations. 2D multi-Gabor representations (MGRs) are a technique of Gabor representations incorporating a set of nonseparable 2D window waveforms in a basis-like system. Windows use in a MGR can be customized to have different spatial and frequency orientations and different spatial and frequency localizations. MGRs have obvious values in efficient image representations and/or compression since an image signal typically has a variety of spatial and frequency contents and orientations. An image could also have textures of different orientations. A multi-Gabor representation that incorporates a set of windows of different localizations and orientations has a build-in adaptive potential, which can provide the most concise representation.

Paper Details

Date Published: 6 November 1998
PDF: 10 pages
Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); doi: 10.1117/12.330374
Show Author Affiliations
Shidong Li, San Francisco State Univ. (United States)


Published in SPIE Proceedings Vol. 3456:
Mathematics of Data/Image Coding, Compression, and Encryption
Mark S. Schmalz, Editor(s)

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