By Topic

Blind deconvolution of blurred images from multiple observations using the GCD algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
M. M. Hadhoud ; Fac. of Electron. Eng., Menoufia Univ., Egypt ; M. I. Dessouky ; F. E. A. El-Samie ; S. E. El-Khamy

This paper suggests an approach for the 2-D blind deconvolution of more than two observations using the two-dimension greatest common divisor (GCD) algorithm. This approach benefits from the information in each observation at the same time instead of using only two observations at a time. The approach depends on forming a combinational image from the available observations and performing the 2-D GCD on this image with all observations and then averaging the results to obtain the estimated image. Results are presented to illustrate the superiority of the proposed method

Published in:

Radio Science Conference, 2001. NRSC 2001. Proceedings of the Eighteenth National  (Volume:1 )

Date of Conference:

2001