Skip to main content

Wavelets and Fractal Image Compression Based on Their Self—Similarity of the Space-Frequency Plane of Images

  • Conference paper
  • First Online:
Wavelet Analysis and Its Applications (WAA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2251))

Included in the following conference series:

  • 817 Accesses

Abstract

This paper presents a fusion scheme for Wavelets and Fractal image compression based on the self-similarity of the space-frequency plane of sub-band encoded images. Various kinds of Wavelet transform are examined for the characteristics of their self-similarity and evaluated for the adoption of Fractal modeling. The aim of this paper is to reduce the information of the two sets of blocks involved in the Fractal image compression by using the self-similarity of images. And also, the new video encoder using the fusion method of Wavelets and Fractal adopts the similar manner as the motion compensation technique of MPEG encoder. Experimental results show almost the same PSNR and bits rate as conventional Fractal image encoder depending on the sampled images by computer simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Stollinitz, E. J., et al.: Wavelets for Computer Graphics: A Premier Pt.1. IEEE Computer Graphics & Application, (May, 1995), 76–84

    Google Scholar 

  2. Jaquine, A. E.: Image Coding based on a Fractal Theory of Iterated Contractive Image Transformations. IEEE Trans. Image Processing, Vol.1, No.1, (June, 1992), 18–30

    Article  Google Scholar 

  3. Kim, C. S., et al.: Fractal Coding of Video Sequence using CPM and NCIM. 1st New Video Media Technology Conference, (March, 1996), 72–76

    Google Scholar 

  4. Tonomura, Y., et al.: Video Handling based on Structured Information for Hypermedia Systems. Proc. of International Conference on Multimedia Information Systems, (1991), 333–344

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ueno, Y. (2001). Wavelets and Fractal Image Compression Based on Their Self—Similarity of the Space-Frequency Plane of Images. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_13

Download citation

  • DOI: https://doi.org/10.1007/3-540-45333-4_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43034-6

  • Online ISBN: 978-3-540-45333-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics