Entropy constrained scalar quantizer for a laplace-markov data source

摘要

A video coding system and method for coding an input frame in which the evolution of discrete cosine transform (DCT) coefficients is modeled as a Laplace-Markov process, the system comprising: a base layer processing system for generating a base layer reconstruction; an enhancement layer processing system for generating an enhancement layer reconstruction; and an entropy constrained scalar quantizer (ECSQ) system for descritizing a prediction residual between the input frame and an estimation theoretic (ET) prediction output; wherein the ECSQ system utilizes an ECSQ that comprises a uniform threshold quantizer with a deadzone size defined by the equation: $\mathrm{Gamma}\left(\mathrm{alpha},t^{*}\right)=2\left(\frac{1}{1-{\mathrm{rho}}^2}{e}^{t^{*}}-1\right),\mathrm{where}\mathrm{Gamma}\left(\mathrm{alpha},\mathrm{beta}\right)=\left(e^{\mathrm{alpha}}-1\right)\exp \left\{-\mathrm{alpha}\left[\frac{d\left(\mathrm{alpha}-\mathrm{delta}\left(\mathrm{alpha}\right)\right)-d\left(-\mathrm{beta}\right)}{d\left(\mathrm{alpha}-\mathrm{delta}\left(\mathrm{alpha}\right)\right)-d\left(-\mathrm{delta}\left(\mathrm{alpha}\right)\right)}\right]\right\}.$