A pyramid model for blind deconvolution based on simulated annealing

A pyramid model is proposed for blind deconvolution problem of image restoration based on simulated annealing (or other heuristic method). The proposed approach is like a pyramid. We start the restoration from a low resolution level. As the image with the low resolution is restored, the restored image (low resolution) is expanded to all image with higher resolution, which is used as oil initial estimate of the high-resolution level. The restoration process is repeated to the highest resolution level. Since we can start with an initial estimate, which will be near the optimum solutions for each resolution level even for the highest resolution level, we can easily find the optimum solutions (restorations) with high resolution. Computer simulations have demonstrated the applicability of the proposed method.