DocumentCode :
2932915
Title :
Still image coding using predictive tree-VQ with sub-band decomposition
Author :
Ohm, Jens-Rainer
Author_Institution :
Inst. fuer Fernmeldetech., Tech. Univ. Berlin, West Germany
fYear :
1990
fDate :
3-6 Apr 1990
Firstpage :
2273
Abstract :
The combination of a linear-predictive still-image coding scheme with tree encoding and vector quantization (predictive tree-VQ, PTVQ) is applied to subband decomposed images. PTVQ allows the use of large codeword lengths and produces good image quality at bit rates around 0.3 b/pixel. Schemes with and without local bit-rate adaptation are studied. All combinations of PTVQ and subband coding (SBC) show good performance with regard to signal-to-noise-ratio (SNR) and perceptual quality criteria and outperform the original PTVQ as well as simple SBC-DPCM (differential pulse-code modulation) schemes, even at rates as low as 0.2 b/pixel
Keywords :
data compression; encoding; picture processing; SNR; linear-predictive still-image coding; local bit-rate adaptation; predictive tree vector quantization; subband coding; subband decomposed images; Bit rate; Decoding; Encoding; Frequency; Geometry; Image coding; Image quality; Modulation coding; Pixel; Pulse modulation; Signal to noise ratio; Strips; Transform coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1990.116028
Filename :
116028
Link To Document :
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