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Ridgelets Frame

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Image Analysis and Recognition (ICIAR 2004)

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

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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.

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References

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

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  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)

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

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

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  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)

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© 2004 Springer-Verlag Berlin Heidelberg

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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

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  • 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

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