DocumentCode :
3051063
Title :
Image restoration and edge extraction based on 2-D stochastic models
Author :
Jain, Anil K. ; Ranganath, Surendra
Author_Institution :
University of California, Davis, CA
Volume :
7
fYear :
1982
fDate :
30072
Firstpage :
1520
Lastpage :
1523
Abstract :
In this paper, we consider application of 2-D stochastic models discussed in [1] to develop noncausal FIR filters for restoration of images degraded by additive white noise. The semicausal model of [1] is used to design masks for edge extraction from the noisy images. The results presented here indicate that good restorations and robust edge detection are possible using relatively simple algorithms.
Keywords :
Additive noise; Covariance matrix; Finite impulse response filter; Image edge detection; Image restoration; Noise robustness; Signal restoration; Signal to noise ratio; Stochastic processes; Stochastic resonance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
Type :
conf
DOI :
10.1109/ICASSP.1982.1171477
Filename :
1171477
Link To Document :
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