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