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

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.