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Journal of Electronic Imaging

Morphological shape decomposition interframe interpolation method
Author(s): Nicolae Dragos Vizireanu
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Paper Abstract

One of the main image representations in mathematical morphology is the shape decomposition representation, useful for image compression and pattern recognition. The morphological shape decomposition representation can be generalized to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the morphological shape decomposition (MSD) role to serve as an efficient image decomposition tool is extended to interpolation of images. We address the binary and grayscale interframe interpolation by means of generalized morphological shape decomposition. Computer simulations illustrate the results.

Paper Details

Date Published: 1 January 2008
PDF: 5 pages
J. Electron. Imaging. 17(1) 013007 doi: 10.1117/1.2885243
Published in: Journal of Electronic Imaging Volume 17, Issue 1
Show Author Affiliations
Nicolae Dragos Vizireanu, Univ. Politehnica Bucuresti (Romania)

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