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