5 February 1996 Digital image restoration with a bilinear system using an iterative method
Author Affiliations +
Proceedings Volume 2730, Second Iberoamerican Meeting on Optics; (1996) https://doi.org/10.1117/12.231126
Event: Second Iberoamerican Meeting on Optics, 1995, Guanajuato, Mexico
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
L. R. Berriel Valdos, L. R. Berriel Valdos, R. Ramos-Lopez, R. Ramos-Lopez, } "Digital image restoration with a bilinear system using an iterative method", Proc. SPIE 2730, Second Iberoamerican Meeting on Optics, (5 February 1996); doi: 10.1117/12.231126; https://doi.org/10.1117/12.231126
PROCEEDINGS
4 PAGES


SHARE
RELATED CONTENT

Wiener filtering of aliased imagery
Proceedings of SPIE (September 05 2008)
Kronecker products in image restoration
Proceedings of SPIE (December 24 2003)
Robust Object Reconstruction From Noisy Observations
Proceedings of SPIE (November 01 1989)

Back to Top