A simplified rate-distortion optimization procedure relying on statistical subband and noise modelling

Author

Rault, Patrick ; Guillemot, Christine

Author_Institution

British Columbia Univ., Vancouver, BC, Canada

Volume

2

fYear

1998

fDate

4-7 Oct 1998

Firstpage

579

Abstract

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

Keywords

convergence of numerical methods; image coding; image resolution; noise; optimisation; quantisation (signal); rate distortion theory; source coding; statistical analysis; computational cost reduction; convergence; high resolution; image signals; performance; rate allocation problems; rate-distortion optimization; real-time implementations; scalar quantization; source encoders; statistical noise modelling; statistical signal modeling; statistical subband modelling; Bit rate; Computational efficiency; Convergence; Distortion; Frequency conversion; Gaussian distribution; Image coding; Lagrangian functions; Quantization; Rate-distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723529

Filename

723529