Entropy constrained scalar quantizer for a Laplace-Markov 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:; $$ \Gamma \left(\alpha ,t^{*}\right)=2\left(\frac{1}{1-{\rho }^2}{e}^{t^{*}}-1\right),\mathrm{where}\Gamma \left(\alpha ,\beta \right)=\left(e^{\alpha }-1\right)\exp \left\{-\alpha \left[\frac{d\left(\alpha -\delta \left(\alpha \right)\right)-d\left(-\beta \right)}{d\left(\alpha -\delta \left(\alpha \right)\right)-d\left(-\delta \left(\alpha \right)\right)}\right]\right\}.$$