Max-Plus Algebra Based Wavelet Transform and its Application to Video Compression/Reconstruction

Author

Nobuhara, H. ; Hirota, Kaoru ; Bede, B.

Author_Institution

Dept. of Comp. Int. & Sys. Sci., Tokyo Inst. of Technol., Yokohama, Japan

fYear

2006

Firstpage

1785

Lastpage

1788

Abstract

A wavelet transformation based on max-plus algebra is proposed, where analysis and synthesis operations are defined by max (or min) and standard sum and they treat with 9 channel multi resolution images. The proposed wavelets especially can reserve edge information on compressed images due to the non-linear operations (max and min); therefore, they are efficient for the compression of predictive frames used in video compression and reconstruction. Through video compression and reconstruction experiments using standard video database, it is confirmed that effectiveness of the proposed wavelets.

Keywords

data compression; image reconstruction; image resolution; video coding; video databases; wavelet transforms; edge information reservation; max-plus algebra; multi resolution image; nonlinear operation; video compression-reconstruction; video database; wavelet transform; Algebra; Image analysis; Image coding; Image reconstruction; Image resolution; Morphology; Signal analysis; Video compression; Wavelet analysis; Wavelet transforms; Image coding; morphological operations; multivalued logic; wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2006 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1522-4880

Print_ISBN

1-4244-0480-0

Type

conf

DOI

10.1109/ICIP.2006.312729

Filename

4106897