Title :
H∞ deconvolution filter design and its application in image restoration
Author :
Yu, X. ; Hsu, C.S. ; Bamberger, R.H. ; Reeves, S.J.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
This paper addresses the use of H∞ filtering to deconvolution, in particular, to the problem of image restoration. The proposed H∞ deconvolution filter has some advantages in the image restoration such as it can deal with unknown boundary problem and spatially varying blurs. The H∞ filter is compared with the inverse Wiener filter and a regularized restoration. The experimental results show that the H∞ filter deals with the unknown boundary problem better than the Wiener filter. Compared with the regularization method, it gives a sharper restored image, especially, when the original image contains many details
Keywords :
H∞ optimisation; Wiener filters; deconvolution; filtering theory; image restoration; H∞ deconvolution filter design; experimental results; image restoration; inverse Wiener filter; regularized restoration; spatially varying blurs; unknown boundary problem; Additive noise; Deconvolution; Filtering; H infinity control; Image restoration; Noise robustness; Stochastic resonance; Time varying systems; Uncertainty; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480096