Title :
Image coding using vector filter bank and vector quantization
Author :
Wus, John ; Li, Weiping ; Zhang, Ya-Qin
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
fDate :
30 May-2 Jun 1994
Abstract :
Subband coding has proven to be a very effective technique when used for image compression purposes. In this paper, the concept of Vector Filter Bank (VFB), which extends the conventional Scalar Filter Bank (SFB) to the vector case, is introduced. A new image coding algorithm, called Vector Subband Coding (VSC), is proposed. Detailed vector formation, filtering processes, vector codebook generation, vector encoding and decoding are examined. Finally, the test results are presented
Keywords :
image coding; vector quantisation; filtering processes; image coding; image compression; subband coding; vector codebook generation; vector decoding; vector encoding; vector filter bank; vector formation; vector quantization; vector subband coding; Channel bank filters; Decoding; Decorrelation; Filter bank; Filtering; Image coding; PSNR; Pixel; Testing; Vector quantization;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.409122
