Title :
H∞ deconvolution filter design and its application in image restoration
Author :
Yu, Xianggang ; Hsu, Chin S. ; Bamberger, Roberto H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
Abstract :
This paper addresses the design of an H∞ deconvolution filter and its application to image restoration. The proposed H∞ deconvolution filter has some advantages for image restoration in its capability of handling unknown boundary problems and spatially varying blurs. In this paper, the H∞ filter is compared with the inverse Wiener filter and a regularized restoration method. 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 :
Wiener filters; deconvolution; filtering theory; image restoration; H∞ deconvolution filter; image restoration; inverse Wiener filter; regularized restoration method; spatially varying blurs; unknown boundary problem; Deconvolution; Image restoration; Information filtering; Information filters; Integrated circuit noise; Linear matrix inequalities; Noise measurement; Riccati equations; State estimation; Symmetric matrices;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.577688