Iterative blind image restoration using local constraints

European Signal Processing Conference

Volumn 1998-January, Issue , 1998, Pages

  May, Kaaren ^a   Stathaki, Tania ^a   Katsaggelos, Aggelos ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b Northwestern University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE RECONSTRUCTION; ITERATIVE METHODS; RESTORATION; SIGNAL PROCESSING;

BLIND IMAGE RESTORATION; BLURRED IMAGE; BOUND ALGORITHMS; CURRENT IMAGE; DEGRADED IMAGES; INITIAL ESTIMATE; LOCAL CONSTRAINTS; PIXEL INTENSITIES;

EDGE DETECTION;

EID: 0346869384     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. D. Kundur and D. Hatzinakos. Blind image deconvolution. IEEE Signal Processing Magazine, 13(3): 43-64, May 1996.
2. D. Kundur and D. Hatzinakos. Blind image deconvolution revisited. IEEE Signal Processing Magazine, 13(6):61-63, November 1996.
3. M. C. Hong, T. Stathaki, and A. K. Katsaggelos. Iterative regularized image restoration using local constraints. In IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, MI, September 1997.
4. K. L. May, T. Stathaki, and A. K. Katsaggelos. Blind image restoration using local bound con-straints. In IEEE ICASSP, Seattle, May 1998.
5. K. T. lay and A. K. Katsaggelos. Image identification and restoration based on the expectation- maximization algorithm. Optical Engineering, 29:436-445, May 1990.
6. G. L. Anderson and A. N. Netravali. Image restoration based on a subjective criterion. IEEE Transactions on Systems, Man, and Cybernetics, 6: 845-853, December 1976.