Title :
Optimal bit allocation among dependent quantizers for the minimum maximum distortion criterion
Author :
Schuster, Guido M. ; Katsaggelos, Aggelos K.
Author_Institution :
Network Syst. Div., US Robotics, IL, USA
Abstract :
In this paper we introduce an optimal bit allocation scheme for dependent quantizers for the minimum maximum distortion criterion. First we show how minimizing the bit rate for a given maximum distortion can be achieved in a dependent coding framework using dynamic programming (DP). Then we employ an iterative algorithm to minimize the maximum distortion for a given bit rate, which invokes the DP scheme. We prove that it converges to the optimal solution. Finally we present a comparison between the minimum total distortion criterion and the minimum maximum distortion criterion for the encoding of an H.263 Intra frame. In this comparison we also point out the similarities between the proposed minimum maximum distortion approach and the Lagrangian multiplier based minimum total distortion approach
Keywords :
convergence of numerical methods; dynamic programming; image coding; iterative methods; minimax techniques; quantisation (signal); rate distortion theory; H.263 Intra frame; Lagrangian multiplier approach; bit rate minimisation; dependent quantizers; dynamic programming; encoding; iterative algorithm; minimum maximum distortion criterion; minimum total distortion criterion; optimal bit allocation; Bit rate; Computer networks; Constraint optimization; Dynamic programming; Encoding; Iterative algorithms; Lagrangian functions; Rate distortion theory; Robots;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595449