A covariance adjustment method in compressed domain for noisy image segmentation

Noise is ubiquitous in real life and changes image acquisition and processing characteristics in an uncontrolled manner. Highly sophisticated image processing algorithms developed for clean images often malfunction when they are used for noisy images. For example, hidden Markov Gauss mixture models...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Pyun, K.P., Johan Lim, Gray, R.M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Covariance matrix Filters Gauss mixture model Gaussian noise hidden Markov model Hidden Markov models Image coding Image processing Image resolution Image segmentation minimum discrimination information Performance evaluation salt and pepper noise shrinkage estimates Testing
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!