A simplified rate-distortion optimization procedure relying on statistical subband and noise modelling
Rate-distortion optimization procedures are very often used in rate allocation problems encountered in source encoders. However, these procedures can be, depending on the number of quantizers considered, very time consuming. This paper describes a simplified approach relying on statistical signal and noise modeling. The strategy presented leads to performances comparable to a classical rate-distortion procedure with a significant reduction of computational cost, making real-time implementations very feasible.