Max-plus algebra based wavelet transform and its application to video compression/reconstruction

Hajime Nobuhara*, Kaoru Hirota, Barnabás Bede

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages1785-1788
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States
Duration: 8 Oct 200611 Oct 2006

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2006 IEEE International Conference on Image Processing, ICIP 2006
Country/TerritoryUnited States
CityAtlanta, GA
Period8/10/0611/10/06

Keywords

  • Image coding
  • Morphological operations
  • Multivalued logic
  • Wavelet transforms

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