Paper
28 January 2008 Parameter selection for Wyner-Ziv coding of Laplacian sources
Author Affiliations +
Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68222F (2008) https://doi.org/10.1117/12.767872
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
A large number of practical coding scenarios deal with sources such as transform coefficients that can be well modeled as Laplacians. For regular coding of such sources, samples are often quantized by a family of uniform quantizers possibly with a deadzone, and then entropy coded. For the Wyner-Ziv coding problem when correlated side-information is available at the decoder, the side-information can be modeled as obtained by additive Laplacian or Gaussian noise on the source. This paper deals with optimal choice of parameters for practical Wyner-Ziv coding in such scenarios, using the same quantizer family as in the regular codec to cover a range of rate-distortion trade-offs, given the variances of the source and additive noise. We propose and analyze a general encoding model that combines source coding and channel coding and show that at practical block lengths and code complexities, not pure channel coding but a hybrid combination of source coding and channel coding with right parameters provide optimal rate-distortion performance. Further, for the channel coded bit-planes we observe that only high-rate codes are useful. We also provide a framework for on-the-fly parameter choice based on non-parametric representation of a set of seed functions, for use in scenarios where variances are estimated during encoding. A good understanding of the optimal parameter selection mechanism is essential for building practical distributed codecs.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Debargha Mukherjee "Parameter selection for Wyner-Ziv coding of Laplacian sources", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68222F (28 January 2008); https://doi.org/10.1117/12.767872
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Cited by 8 scholarly publications.
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KEYWORDS
Forward error correction

Distortion

Data compression

Quantization

Computer programming

Error control coding

Binary data

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