1997 International Conference on Image Processing (ICIP'97) - Volume 1
A mixed norm image restoration
Washington, DC
October 26-October 29
ISBN: 0-8186-8183-7
Min-Cheol Hong, Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
T. Stathaki, Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
A.K. Katsaggelos, Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
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.
Index Terms:
image restoration; image restoration; iterative mixed norm algorithm; least mean squares functional; least mean fourth functional; kurtosis; convergence
Citation:
Min-Cheol Hong, T. Stathaki, A.K. Katsaggelos, "A mixed norm image restoration," icip, vol. 1, pp.385, 1997 International Conference on Image Processing (ICIP'97) - Volume 1, 1997