DocumentCode :
1749936
Title :
Edge adaptive restoration of noisy, blurred images
Author :
Foster, George J. ; Namazi, Nader M.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1829
Abstract :
We present a method to find the mean square estimate of the original image using a Gauss-Markov image model and a known point spread function. The performance of the edge adaptive technique compares favorably to the Wiener filter on synthetic and real images with mild linear (motion) blur and additive white Gaussian noise
Keywords :
AWGN; adaptive estimation; adaptive signal processing; edge detection; functions; image restoration; AWGN; Gauss-Markov image model; additive white Gaussian noise; edge adaptive image restoration; linear motion blur; mean square estimate; noisy blurred images; point spread function; Filtering; Frequency; Gaussian processes; Image edge detection; Image restoration; Low pass filters; Noise reduction; Signal processing; Stochastic resonance; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941298
Filename :
941298
Link To Document :
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