Title :
Improvements on stochastic vector quantization of images
Author :
Torres, L. ; Salillas, J.
Author_Institution :
ETSIT-U Univ. Politecnica de Catalunya, Barcelona, Spain
Abstract :
A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.<>
Keywords :
computational complexity; image coding; stochastic processes; vector quantisation; codebook; computational load; images; nonadaptive fixed-rate vector quantizer; performance; stochastic vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.1993.319791
