DocumentCode :
2261055
Title :
Low-power subband coding algorithm
Author :
Farag, Emad N. ; Elmasry, Moharned I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
4
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
2116
Abstract :
This paper describes a video compression algorithm that has a reduced computational complexity. The subband video compression algorithm uses a simplified analysis/synthesis filter bank and a vector quantization coding algorithm. The use of the simplified analysis/synthesis filter banks reduces the power dissipation by 23 times over other algorithms at the expense of a 4 dB reduction in the signal to noise ratio. The vector quantization algorithm is a computational algorithm instead of the power consuming memory lookup algorithms
Keywords :
computational complexity; two-dimensional digital filters; vector quantisation; video coding; 4 dB; analysis/synthesis filter bank; low-power subband coding algorithm; power dissipation; reduced computational complexity; signal to noise ratio; simplified analysis/synthesis filter banks; subband video compression algorithm; vector quantization coding algorithm; Algorithm design and analysis; Computational complexity; Filter bank; Image reconstruction; Investments; Power dissipation; Signal synthesis; Vector quantization; Very large scale integration; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.545733
Filename :
545733
Link To Document :
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