Title :
Robust identification and restoration of images
Author :
Çetin, A. Enis ; Tekalp, A. Murat
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
Image identification and restoration algorithms that are based on the use of robust statistical methods are presented. In particular, a robust version of the two-dimensional reduced-update Kalman filter (RUKF) is developed. The robust RUKF can be used for restoring images that are corrupt by ε-contaminated Gaussian noise
Keywords :
computerised picture processing; ϵ-contaminated Gaussian noise; image identification; restoration of images; robust statistical methods; two-dimensional reduced-update Kalman filter; Gaussian noise; Image restoration; Kalman filters; Maximum likelihood estimation; Noise robustness; Parameter estimation; Signal processing algorithms; Signal restoration; Statistics; White noise;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100273
