DocumentCode
319909
Title
A mixed norm image restoration
Author
Hong, Min-Cheol ; Stathaki, Tania ; Katsaggelos, Aggelos K.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Volume
1
fYear
1997
fDate
26-29 Oct 1997
Firstpage
385
Abstract
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
Keywords
convergence of numerical methods; functional equations; image restoration; iterative methods; least mean squares methods; convergence; image restoration; iterative mixed norm algorithm; kurtosis; least mean fourth functional; least mean squares functional; Adaptive filters; Additive noise; Algorithm design and analysis; Degradation; Digital signal processing; Gaussian noise; Image restoration; Iterative algorithms; Least squares approximation; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647787
Filename
647787
Link To Document