DocumentCode
2598343
Title
Image blur identification by using higher order statistic techniques
Author
Xu, You ; Crebbin, Greg
Author_Institution
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
Volume
3
fYear
1996
fDate
16-19 Sep 1996
Firstpage
77
Abstract
In this paper, higher order statistic (HOS) based blur identification methods are proposed to estimate blur coefficients in image restoration, in which the image is considered as a colored process. One dimensional (1-D) based blur identification algorithms are proposed, and their extensions to two dimensional (2-D) cases are discussed. The experimental results are presented to demonstrate the performance of the proposed methods in this paper
Keywords
higher order statistics; image recognition; image restoration; spectral analysis; colored process; higher order statistic techniques; image blur identification; image restoration; one dimensional cases; performance; two dimensional cases; Autoregressive processes; Data mining; Degradation; Frequency domain analysis; Gaussian distribution; Higher order statistics; Image restoration; Maximum likelihood estimation; Probability density function; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.560373
Filename
560373
Link To Document