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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172782
