An iterative method of blur identification and image restoration

An increment iterative blind deconvolution (IIBD) algorithm in the frequency domain is proposed for simultaneous identification of blurs and restoration of images. The algorithm is simple and efficient, and one does not need to impose a statistic presumption on the image. The a priori knowledge can be easily incorporated into the algorithm. Experiments show that the IIBD algorithms may be a practical solution to the identification and restoration problems.