DocumentCode :
984027
Title :
Morphological operators for image and video compression
Author :
Salembier, Philippe ; Brigger, Patrick ; Casas, Josep R. ; Pardàs, Montse
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
5
Issue :
6
fYear :
1996
fDate :
6/1/1996 12:00:00 AM
Firstpage :
881
Lastpage :
898
Abstract :
This paper deals with the use of some morphological tools for image and video coding. Mathematical morphology can be considered as a shape-oriented approach to signal processing, and some of its features make it very useful for compression. Rather than describing a coding algorithm, the purpose of this paper is to describe some morphological tools that have proved attractive for compression. Four sets of morphological transformations are presented: connected operators, the region-growing version of the watershed, the geodesic skeleton, and a morphological interpolation technique. The authors discuss their implementation, and show how they can be used for image and video segmentation, contour coding, and texture coding
Keywords :
data compression; image coding; image segmentation; image texture; interpolation; mathematical morphology; video coding; connected operators; contour coding; geodesic skeleton; image coding; image compression; image segmentation; morphological interpolation technique; morphological operators; morphological tools; morphological transformations; region-growing; shape-oriented approach; signal processing; texture coding; video coding; video compression; video segmentation; watershed; Decorrelation; Humans; Image coding; Image segmentation; Morphology; Signal processing; Signal processing algorithms; Video coding; Video compression; Video signal processing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.503906
Filename :
503906
Link To Document :
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