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}
}
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. 

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A regularized least mean mixed norm multichannel image restoration algorithm

  • Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
  • 1998

A mixed norm image restoration

  • Proceedings of International Conference on Image Processing
  • 1997

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