Nothing Special   »   [go: up one dir, main page]

Skip to main content

Ridgelets Frame

  • Conference paper
Image Analysis and Recognition (ICIAR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3211))

Included in the following conference series:

Abstract

In this paper, a new system called ridgelets frame in L2 (R2) is constructed. To construct the new system, we use other orthonormal wavelet rather than Meyer wavelet, which was used in the construction of orthonormal ridgelets by Donoho. Due to the losing of two special closure properties of Meyer wavelet, the new system is a tight frame with frame bound 1 instead of orthonormal basis for L2 (R2). As an example, we demonstrate the potential power of the new constructed system by showing its ability of recovering the line structure in images in the presence of noise.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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.

Similar content being viewed by others

References

  1. Donoho, D.L.: Orthonormal Ridgelets and Linear Singularities. SIAM J. Math Anal. 5, 1062–1099 (2000)

    Article  MathSciNet  Google Scholar 

  2. Flesia, A.G., Helor, H.A., Averbuch, E.J., Candès, E.J., Coifman, R.R., Donoho, D.L.: Digital Implementation of Ridgelet Packets. Stanford Uni. Stanford, CA, Tech. Rep. (2002)

    Google Scholar 

  3. Deans, S.R.: The Radon Transform and Some of Its Applications. Wiley, New York (1983)

    MATH  Google Scholar 

  4. Candès, E.J.: Monoscale Ridgelets for the Representation of Images with Edges. Dept. Statist., Stanford Univ., Stanford, CA, Tech. Rep. (1999)

    Google Scholar 

  5. Candès, E.J., Donoho, D.L.: Curvelets—a Surprisingly Effective Nonadaptive Representation for Objects with Edges. In: Cohen, A., Rabut, C., Schumaker, L.L. (eds.) Curve and Surface Fitting, Van-derbilt Univ. Press, Nashville (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shan, T., Jiao, L., Feng, X. (2004). Ridgelets Frame. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30125-7_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30125-7_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23223-0

  • Online ISBN: 978-3-540-30125-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics