DocumentCode :
1077511
Title :
On the Uniform Quantization of a Class of Sparse Sources
Author :
Fraysse, Aurélia ; Pesquet-Popescu, Béatrice ; Pesquet, Jean-Christophe
Author_Institution :
Lab. des Signaux et Syst., Univ. Paris-Sud, Gif-sur-Yvette
Volume :
55
Issue :
7
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
3243
Lastpage :
3263
Abstract :
We consider the uniform scalar quantization of a class of mixed distributed memoryless sources, namely sources having a Bernoulli Generalized Gaussian (BGG) distribution. Both for low and high resolutions, asymptotic expressions of the distortion for a pth-order moment error measure, and close approximations of the entropy are provided for these sources. Operational rate-distortion functions at high bit rate and their slope factors at low bit rate are derived. The dependence of these results on p and the distribution parameters as well as the relation to the Shannon optimal rate-distortion bound are then discussed. The application of these results to transform coding in two simple cases is finally highlighted.
Keywords :
Gaussian distribution; memoryless systems; quantisation (signal); rate distortion theory; transform coding; BGG distribution; Bernoulli generalized Gaussian distribution; Shannon optimal rate-distortion bound; mixed distributed memoryless sources; rate-distortion function; sparse sources; transform coding; uniform scalar quantization; Algorithm design and analysis; Bit rate; Data compression; Distortion measurement; Entropy; Image coding; Image reconstruction; Quantization; Transform coding; Video compression; Asymptotic performance; Bernoulli–Gaussian model; generalized Gaussian; mixed distribution; rate–distortion function; sparsity; transform coding; uniform quantization;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2009.2021329
Filename :
5075869
Link To Document :
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