DocumentCode
1358909
Title
Distribution Preserving Quantization With Dithering and Transformation
Author
Li, Minyue ; Klejsa, Janusz ; Kleijn, W. Bastiaan
Author_Institution
Sch. of Electr. Eng., KTH - R. Inst. of Technol., Stockholm, Sweden
Volume
17
Issue
12
fYear
2010
Firstpage
1014
Lastpage
1017
Abstract
A new quantization scheme that preserves the probability distribution of the source signal is presented. The distribution preserving quantization (DPQ) achieves the optimal trade-off between mean square error and bit rate asymptotically. It provides a continuum ranging from rate-distortion optimal signal quantization to parametric coding. The method can be used as a core component for scalable coding. Its efficacy is illustrated by applying the scheme to audio coding.
Keywords
mean square error methods; probability; quantisation (signal); rate distortion theory; bit rate; distribution preserving quantization; dithering; mean square error; parametric coding; probability distribution; quantization scheme; rate-distortion optimal signal quantization; scalable coding; source signal; Bit rate; Distortion measurement; Probability distribution; Quantization; Source coding; Distribution preserving quantization; perceptual coding; scalable coding;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2010.2087749
Filename
5607293
Link To Document