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Rate-Quantization and Distortion-Quantization Models of Dead-Zone Plus Uniform Threshold Scalar Quantizers for Generalized Gaussian Random Variables

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7732))

Abstract

This paper presents the rate-distortion modeling of the dead-zone plus uniform threshold scalar quantizers with nearly-uniform reconstruction quantizers (DZ+UTSQ/NURQ) for generalized Gaussian distribution (GGD). First, we rigorously deduce the analytical rate-quantization (R-Q) and distortion-quantization (D-Q) functions of DZ+UTSQ/NURQ for Laplacian distribution (an important special case of GGD). Then we heuristically extend these results and obtain the R-Q and D-Q models for GGD under DZ+UTSQ/NURQ. The effectiveness of the proposed GGD R-Q and D-Q models is well confirmed from low to high bit rate via extensive simulation experiments, promising the efficiency and accuracy to guide various video applications in practice.

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Duan, Y., Sun, J., Guo, Z. (2013). Rate-Quantization and Distortion-Quantization Models of Dead-Zone Plus Uniform Threshold Scalar Quantizers for Generalized Gaussian Random Variables. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_33

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  • DOI: https://doi.org/10.1007/978-3-642-35725-1_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35724-4

  • Online ISBN: 978-3-642-35725-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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