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Proceedings Paper

Robust method for texture synthesis-by-analysis based on a multiscale Gabor scheme
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Paper Abstract

We propose a new texture synthesis-by-analysis method inspired by current models of biological early vision and based on a multiscale Gabor scheme. The analysis stage starts with a log-polar sampling of the estimated power spectral density of the texture by a set of 4 by 4 Gabor filters, plus a low-pass residual (LPR). Then, for each channel, we compute its energy and its two (X,Y) bandwidths. The LPR is coded by five parameters. In addition, the density function of the original texture is also estimated and compressed to sixteen values. Therefore, texture is coded by only 69 parameters. The synthesis method consists of generating a set of 4 by 4 synthetic channels (Gabor filtered noise signals). Their energies and bandwidths are corrected to match the original features. These bandpass filtered noise signals are mixed into a single image. Finally, the histogram and LPR frequencies of the resulting texture are modified to fit the original values. We have obtained very satisfactory results both with highly random textures and with some quasi-periodic textures. Compared to previous methods, ours has other important advantages: high robustness (stable, non iterative and fully automatic), high compactness of the coding, and computational efficiency.

Paper Details

Date Published: 22 April 1996
PDF: 12 pages
Proc. SPIE 2657, Human Vision and Electronic Imaging, (22 April 1996); doi: 10.1117/12.238704
Show Author Affiliations
Rafael Fonolla Navarro, CSIC Instituto de Optica (Spain)
Javier Portilla, CSIC Instituto de Optica (Spain)


Published in SPIE Proceedings Vol. 2657:
Human Vision and Electronic Imaging
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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