DocumentCode
3077657
Title
Comparative evaluation of a new procedure for adaptive estimation of noisy images
Author
Pu, Zhang Zhao ; Kaufman, Howard
Author_Institution
Beijing Institute of Information & Control, Beijing, People´´s Republic of China
Volume
9
fYear
1984
fDate
30742
Firstpage
72
Lastpage
75
Abstract
A new iterative adaptive image restoration algorithm is developed. It is composed of a sub-optimal filter and a least squares based identifier. To account for nonstationarity, a moving window technique has been incorporated. Based upon computational results on two noisy images and a comparison with three other adaptive image restoration algorithms, it was concluded that the proposed adaptive image estimation algorithm is highly competitive.
Keywords
Adaptive estimation; Autoregressive processes; Equations; Filters; Image restoration; Interpolation; Iterative algorithms; Least squares methods; Mathematical model; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type
conf
DOI
10.1109/ICASSP.1984.1172782
Filename
1172782
Link To Document