Single bit-map block truncation coding of color images

Authors:
Y. Wu;D. C. Coll
Affiliations:
Commun. Res. Centre, Ottawa, Ont.;-
Venue:
IEEE Journal on Selected Areas in Communications
Year:
2006

Citing 0
Cited 2

Color image compression using quantization, thresholding, and edge detection techniques all based on the moment-preserving principle

Pattern Recognition Letters
A Novel Color Image Hiding Scheme Using Block Truncation Coding

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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