Title :
Wavelet vector quantization of images
Author :
Sajadieh, Masoud ; Venetsanopoulos, Anastasios N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Abstract :
A scheme for very low bit rate coding of images is presented. A pyramidal structure, constructed from the wavelet decomposition of the original image on successive dyadic resolutions, serves as the basic representation of the image. Entropy-constrained vector quantization (ECVQ) is adopted to quantize various subimages lying on the pyramid levels. Optimal entropy coding of the resulted indices can yield very low bit rates at appreciably high objective quality
Keywords :
data compression; image coding; vector quantisation; wavelet transforms; ECVQ; dyadic resolutions; entropy constrained vector quantisation; image coding; image compression; objective quality; optimal entropy coding; pyramidal structure; very low bit rate coding; wavelet decomposition; Bit rate; Entropy coding; Filtering; Finite impulse response filter; Image coding; Image reconstruction; Psychology; Signal resolution; Vector quantization; Wavelet coefficients;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274157
