# An iterative mixed norm image restoration algorithm

@article{Hong1997AnIM, title={An iterative mixed norm image restoration algorithm}, author={Min Cheol Hong and Tania Stathaki and Aggelos K. Katsaggelos}, journal={Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics}, year={1997}, pages={137-141} }

- Published in Proceedings of the IEEE Signal Processing…1997
DOI:10.1109/HOST.1997.613503

In this paper, we propose an iterative mixed norm image restoration algorithm. A functional which combines the least mean squares (LMS) and the least mean fourth (LMF) functionals is proposed. A function of the kurtosis is used to determine the relative importance between the LMS and the LMF functionals. An iterative algorithm is utilized for obtaining a solution and its convergence is analyzed. Experimental results demonstrate the capability of the proposed approach.