DocumentCode :
2018587
Title :
Blur identification by statistical analysis
Author :
Trussell, H. Joel ; Savakis, Andreas E.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
2493
Abstract :
A new blur identification method is proposed which estimates the point spread function (PSF) parameters by comparing the power spectrum of the Wiener restoration residual with its expected value, derived under the assumption that the parameter values tested are correct. The parameter values for which there is the closest match between the residual statistics are chosen as the estimates of the true parameters. The method has successfully identified blur parameters in both synthetically and in-camera blurred images
Keywords :
parameter estimation; picture processing; spectral analysis; statistical analysis; Wiener restoration residual; blur identification; blurred images; parameter identification; parameter values; picture processing; point spread function; power spectrum; residual statistics; statistical analysis; Cepstral analysis; Degradation; Geometrical optics; Image restoration; Parameter estimation; Parametric statistics; Signal restoration; State estimation; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.150907
Filename :
150907
Link To Document :
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