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