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
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