A model of iterative regularized restoration of images based upon wavelet filter banks is proposed in this paper.
Regularized restoration is a method of solving ill-posed image restoration problems.
Wavelet filter-banks designed upon arbitrarily sampling lattices are proposed in order to replace the conventional regularization operator. A regularization parameter corresponds to each decomposition channel of the wavelet filter-bank. The proposed model estimates regularization parameters iteratively. The current estimate of the restored image is used in such an estimation. The model assumes that the degradation may be represented by a perfect reconstruction filter bank.