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
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;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101797
