Title :
A risk-based frequency adaptive image restoration
Author :
Mastropietro, Daniel G. ; Tull, Damon L. ; Kang, Moon Gi
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., WI, USA
fDate :
6/21/1905 12:00:00 AM
Abstract :
A frequency adaptive choice of the regularization parameter based on an unbiased estimate of the risk is investigated. The method is intended to be used in the restoration of images degraded by a shift invariant blur and additive white Gaussian noise. The results are compared with the more widely studied non adaptive case
Keywords :
AWGN; image restoration; additive white Gaussian noise; frequency adaptive; image restoration; shift invariant blur; Additive white noise; Degradation; Frequency estimation; Image restoration; Inverse problems; Least squares methods; Moon; Risk analysis; Set theory; Vectors;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821632
