1 January 2008 Morphological shape decomposition interframe interpolation method
Nicolae Dragos Vizireanu
Author Affiliations +
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.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Nicolae Dragos Vizireanu "Morphological shape decomposition interframe interpolation method," Journal of Electronic Imaging 17(1), 013007 (1 January 2008). https://doi.org/10.1117/1.2885243
Published: 1 January 2008
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CITATIONS
Cited by 49 scholarly publications.
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KEYWORDS
Image compression

Mathematical morphology

Binary data

Image segmentation

Transform theory

Algorithms

Computer simulations

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