Optimal adaptive blur identification of noisy images

We present a new blur identification procedure based on a hybrid, two-level evolutionary-deterministic scheme which allows dynamic optimization of the size and the pattern of the support of the point spread function. We demonstrate that the proposed techniques can be generalized to the case of multi-band identification. Numerical simulations demonstrate the overall priority of the proposed identification scheme with regard to the conventional techniques.