Arbitrarily-shaped wavelet transform for image compression

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

Research output: Contribution to conferencePaper

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
Pages1453-1456
Number of pages4
Publication statusPublished - 1997
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

ASJC Scopus subject areas

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

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  • Cite this

    Kang, E. S., Lee, J. Y., Kim, J. H., Ko, S. J., & Morales, A. (1997). Arbitrarily-shaped wavelet transform for image compression. 1453-1456. Paper presented at Proceedings of the 1997 40th Midwest Symposium on Circuits and Systems. Part 1 (of 2), Sacramento, CA, USA, .