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Proceedings Paper

Digital image restoration with a bilinear system using an iterative method
Author(s): L. R. Berriel Valdos; R. Ramos-Lopez
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Paper Abstract

In this work we present a numerical and iterative algorithm for the reconstruction of degraded space variant imaging. The method works using the function: RG(u,u') equals G(u+u'/2)G(u-u'/2), which is the output of a bilinear system, G(u) is the Fourier transform of the degraded image function, g(x). Then using an iterative technique based on the damped minimum mean squares estimation method the estimated object is obtained when a Wiener filter, in the bilinear system, is applied to the RG(u,u') function.

Paper Details

Date Published: 5 February 1996
PDF: 4 pages
Proc. SPIE 2730, Second Iberoamerican Meeting on Optics, (5 February 1996); doi: 10.1117/12.231126
Show Author Affiliations
L. R. Berriel Valdos, Instituto Nacional de Astrofisica, Optica y Electronica (Mexico)
R. Ramos-Lopez, Instituto Nacional de Astrofisica, Optica y Electronica (Mexico)


Published in SPIE Proceedings Vol. 2730:
Second Iberoamerican Meeting on Optics
Daniel Malacara-Hernandez; Sofia E. Acosta-Ortiz; Ramon Rodriguez-Vera; Zacarias Malacara; Arquimedes A. Morales, Editor(s)

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