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. © Springer-Verlag 2013.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7732 LNCS, pp. 357–367). https://doi.org/10.1007/978-3-642-35725-1_33
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