Arbitrarily-shaped wavelet transform for image compression

Eui Sung Kang, Jae Yong Lee, Jong Han Kim, Sung-Jea Ko, Aldo Morales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wavelet transform is not applicable to arbitrarily-shaped region (or object) in images, due to the nature of its global decomposition. In this paper, the arbitrarily-shaped wavelet transform (ASWT) is proposed in order to solve this problem and its properties are investigated. Computational complexity of the ASWT is also examined and it is shown that the ASWT requires significantly fewer computations than conventional wavelet transform, since the ASWT processes only the object region in the original image. Experimental results show that any arbitrarily-shaped image segment can be decomposed using the ASWT and perfectly reconstructed using the inverse ASWT.

Original languageEnglish
Title of host publicationMidwest Symposium on Circuits and Systems
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1453-1456
Number of pages4
Volume2
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2) - Sacramento, CA, USA
Duration: 1997 Aug 31997 Aug 6

Other

OtherProceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2)
CitySacramento, CA, USA
Period97/8/397/8/6

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Kang, E. S., Lee, J. Y., Kim, J. H., Ko, S-J., & Morales, A. (1997). Arbitrarily-shaped wavelet transform for image compression. In Anon (Ed.), Midwest Symposium on Circuits and Systems (Vol. 2, pp. 1453-1456). IEEE.