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Proceedings Paper

Subband image decomposition by mathematical morphology
Author(s): Soo-Chang Pei; Fei-Chin Chen
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Paper Abstract

An efficient subband image decomposition method by mathematical morphology is described in this paper, it decomposes the input signal spectrum into 4 subband images by using two separable structure elements, then each band image, can be decimated and coded effectively for data transmission. This subband pyramid scheme preserves the number of pixels as in the original image, also the data structure itself is very compact, the advantages of morphology over linear filtering approach are its direct geometric interpretations, simplicity and efficiency in implementation, some image examples are given to show the effectiveness of this approach.

Paper Details

Date Published: 1 September 1990
PDF: 9 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24216
Show Author Affiliations
Soo-Chang Pei, National Taiwan Univ. (Taiwan)
Fei-Chin Chen, National Taiwan Institute of Technology (Taiwan)


Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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