Title :
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
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;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723529
