Articles

Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions

[+] Author Affiliations
Oscar Nestares, Rafael Navarro, Javier Portilla

Instituto de Optica “Daza de Valde´s”, Consejo Superior de Investigaciones Cientificas (CSIC), Serrano 121, 28006 Madrid, Spain

Antonio Tabernero

Universidad Polite´cnica de Madrid, Facultad de Informa´tica, Boadilla del Monte, Madrid, Spain

J. Electron. Imaging. 7(1), 166-173 (Jan 01, 1998). doi:10.1117/1.482638
History: Received Jul. 18, 1996; Revised Apr. 11, 1997; Accepted Aug. 1, 1997
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Abstract

Gabor schemes of multiscale image representation are useful in many computer vision applications. However, the classic Gabor expansion is computationally expensive due to the lack of orthogonality of Gabor functions. Some alternative schemes, based on the application of a bank of Gabor filters, have important advantages such as computational efficiency and robustness, at the cost of redundancy and lack of completeness. In a previous work we proposed a quasicomplete Gabor transform, suitable for fast implementations in either space or frequency domains. Reconstruction was achieved by simply adding together the even Gabor channels. We develop an optimized spatial-domain implementation, using one-dimensional 11-tap filter masks, that is faster and more flexible than Fourier implementations. The reconstruction method is improved by applying fixed and independent weights to the Gabor channels before adding them together. Finally, we analyze and implement, in the spatial domain, two ways to incorporate a high-pass residual, which permits a visually complete representation of the image. © 1998 SPIE and IS&T.

© 1998 SPIE and IS&T

Citation

Oscar Nestares ; Rafael Navarro ; Javier Portilla and Antonio Tabernero
"Efficient spatial-domain implementation of a multiscale image representation based on Gabor functions", J. Electron. Imaging. 7(1), 166-173 (Jan 01, 1998). ; http://dx.doi.org/10.1117/1.482638


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