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