DocumentCode
1955764
Title
Optimal detection schemes for the restoration of images with signal dependent noise
Author
Barner, Kenneth E. ; Arce, Gonzalo R.
Author_Institution
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
fYear
1989
fDate
14-16 Aug 1989
Firstpage
71
Abstract
Restoration techniques that are based on optimal vector detection methods are introduced. The restoration methods are derived from a Bayesian framework, and reduce to a M -ary hypothesis test among a representative set, or codebook, of vectors. These techniques remove the signal-dependent noise while retaining the structure required for accurate image representation
Keywords
Bayes methods; encoding; picture processing; signal detection; Bayesian framework; M-ary hypothesis test; codebook; image representation; optimal vector detection methods; restoration; signal dependent noise; Adaptive filters; Bayesian methods; Degradation; Image edge detection; Image representation; Image restoration; Signal processing; Signal restoration; Smoothing methods; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location
Champaign, IL
Type
conf
DOI
10.1109/MWSCAS.1989.101797
Filename
101797
Link To Document