Discrete minimum entropy quantization

Discrete minimum entropy quantization

We present a simple lower bound on the entropy of a quantized signal and a method for determining the minimum entropy quantization, subject to a maximum distortion, for a discrete memoryless random process. This quantization allows more efficient use of variable-order models for compression of image...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing 1995-09, Vol.4 (9), p.1314-1317
Hauptverfasser: Gormish, M.J., Gill, J.T.
Format: Artikel
Sprache:eng
Schlagworte:
Annealing
Application software
Applied sciences
Distortion measurement
Entropy
Exact sciences and technology
Image classification
Information, signal and communications theory
Labeling
Quantization
Relaxation methods
Sampling, quantization
Signal and communications theory
Telecommunications and information theory
Testing
Viterbi algorithm
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We present a simple lower bound on the entropy of a quantized signal and a method for determining the minimum entropy quantization, subject to a maximum distortion, for a discrete memoryless random process. This quantization allows more efficient use of variable-order models for compression of images and sound.< >
ISSN:1057-7149
1941-0042
DOI:10.1109/83.413176