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Journal of Inforamtion Science and Engineering, Vol.12 No.3, pp.415-428 (September 1996)
Multiesolutional Image Representation and
Coding Using Morphological Pyramids*

Rong-Jian Chen and Bin-Chang Chieu#
Department of Electronic Engineering
National Lienho Collage of Technology and Commerce
Miao Li, Taiwan, ROC
#Department of Electronic Engineering
National Taiwan Institute of Technology
Taipei, Taiwan, ROC.

In this paper, we present an efficient and multiresolutional image representation scheme in which the input images are decomposed and represented as morphological pyramids. An input image is first decomposed into a morphological lowpass pyramid by using morphological filters. A morphological bandpass pyramid is then built by taking the difference between successive levels in the lowpass pyramid. Finally, a vector quantization is applied to each level of the morphological bandpass pyramid to achieve progressive transmission. Examples of images are presented to show the effectiveness of this coding system.

Keywords: multiresolutional representation, morphological filters, morphological pyramids, image coding, vector quantization

Received January 28, 1995; revised December 13, 1995.
Communicated by Soo-Chang Pei.
*This work was supported by the National Science Council and Telecommunication Lab., Taiwan, R.O.C. under grant number NSC81-0404-E011-019.