Subband coding of color images using finite state vector quantization

Author

Kim, Choon-Sung ; Bruder, John ; Smith, Mark J T ; Mersereau, Russell M.

Author_Institution

Sch. of Electr. Eng., Atlanta, GA, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

753

Abstract

Subband coding (SBC) has been shown to be an effective method for coding monochrome images at low bit rates. SBC systems decompose the input image into a small number of decimated, spectrally disjoint subband images which are then coded by a variety of means. Reconstruction is performed by decoding and merging the reinterpolated subband images. This work investigates the application of the subband concept to the efficient coding of color images. The color representations are cast into a subband coding framework to form color image coding systems. Differential PCM and finite-state vector quantization methods are used in coding the subband images. Bit rates below 1 bit/pixel are obtainable for high-quality representations of 256×256 color images

Keywords

data compression; decoding; encoding; interpolation; picture processing; pulse-code modulation; PCM; color image coding finite state vector quantization; decoding; input image; monochrome images; reinterpolated subband images; spectrally disjoint subband images; subband coding framework; Bit rate; Color; Image analysis; Image coding; Image reconstruction; Merging; Pixel; Speech analysis; Speech synthesis; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196694

Filename

196694