Single bit-map block truncation coding of color images

Author

Wu, Yiyan ; Coll, David C.

Author_Institution

Commun. Res. Centre, Ottawa, Ont., Canada

Volume

10

Issue

5

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

952

Lastpage

959

Abstract

A color-image data compression technique based on block truncation coding (BTC) is described. BTC is first implemented to encode a weighted trichromatic image. The bit map generated is then used to compress each of the R, G, and B signals separately, removing the intercolor correlations. The weighted trichromatic signal is generated by properly weighting R, G, and B signals so that the reconstructed R, G, and B signals have minimum mean square error (MSE). Another approach using a bit-wise majority rule on the R, G, and B BTC bit maps is also discussed. The algorithm preserves the spatial details in the image content and has low computational complexity. An 8:1 compression can be achieved

Keywords

colour; data compression; encoding; picture processing; BTC; MSE; algorithm; bit-map block truncation coding; color images; computational complexity; data compression; image content; minimum mean square error; weighted trichromatic signal; Bit rate; Color; Colored noise; Computational complexity; Humans; Image coding; Image reconstruction; Optical distortion; Optical filters; Signal generators;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.139000

Filename

139000