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Proceedings Paper

Sparse Gabor wavelets by local operations
Author(s): Sylvain Fischer; Rafael Redondo; Laurent Perrinet; Gabriel Cristobal
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Paper Abstract

Efficient sparse coding of overcomplete transforms remains still an open problem. Different methods have been proposed in the literature, but most of them are limited by a heavy computational cost and by difficulties to find the optimal solutions. We propose here an algorithm suitable for Gabor wavelets and based on biological models. It is composed by local operations between neighboring transform coefficients and achieves a sparse representation with a relatively low computational cost. Used with a chain coder, this sparse Gabor wavelet transform is suitable for image compression but is also of interest also for other applications, in particular for edge and contour extraction and image denoising.

Paper Details

Date Published: 29 June 2005
PDF: 12 pages
Proc. SPIE 5839, Bioengineered and Bioinspired Systems II, (29 June 2005); doi: 10.1117/12.608403
Show Author Affiliations
Sylvain Fischer, Instituto de Optica (CSIC) (Spain)
Rafael Redondo, Instituto de Optica (CSIC) (Spain)
Laurent Perrinet, INCM/CNRS (France)
Gabriel Cristobal, Instituto de Optica (CSIC) (Spain)


Published in SPIE Proceedings Vol. 5839:
Bioengineered and Bioinspired Systems II
Ricardo A. Carmona; Gustavo Linan-Cembrano, Editor(s)

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