Uniform Scalar Quantization Based Wyner-Ziv Coding of Laplace-Markov Source

Author

Sheinin, V. ; Jagmohan, A. ; He, Dawei

Author_Institution

IBM Thomas J. Watson Res. Center, NY, USA

Volume

1

fYear

2007

fDate

15-20 April 2007

Abstract

Wyner-Ziv coding has recently emerged as an alternative to conventional DPCM coding for compression of sources with memory, particularly in video compression. This paper studies the operational rate-distortion performance of Wyner-Ziv coding, using uniform scalar quantization followed by perfect Slepian-Wolf coding, for compression of a Laplace-Markov source. The performance gap of this technique relative to DPCM coding is characterized through derived rate-distortion expressions and numerical simulations.

Keywords

Laplace equations; Markov processes; data compression; pulse code modulation; quantisation (signal); rate distortion theory; video coding; Laplace-Markov source compression; Slepian-Wolf coding; Wyner-Ziv coding; differential pulse code modulation; numerical simulations; rate-distortion performance; uniform scalar quantization; video compression; Computational efficiency; Decoding; Helium; Modulation coding; Numerical simulation; Pulse compression methods; Pulse modulation; Quantization; Source coding; Video compression; Laplace-Markov source; Quantization; Wyner-Ziv coding; differential pulse code modulation; source coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366729

Filename

4217129