Boon and Bane of Curvelet Transform

Author:

Geetha G.,Ragavi V.,Thamizhchelvy K.,Mariappan K.,Lalitha V.,Priya S. Shanmuga

Publisher

Springer Berlin Heidelberg

Reference29 articles.

1. Candes, E.J., Donoho, D.L.: Curvelets: A surprisingly effective nonadaptive representation for objects with edges (December 2006), http://www.curvelet.org/papers/Curve99.pdf

2. Candès, E.J., Donoho, D.L.: Ridgelets: a key to higher-dimensional intermittency? Philosophical Transactions of the Royal Society of London A 357, 2495–2509 (1999)

3. 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: Saint-Malo. Vanderbilt University Press, Nashville (1999)

4. Starck, J.-L., Candès, E.J., Donoho, D.L.: The Curvelet Transform for Image Denoising. IEEE Transactions on Image Processing 11(6), 670–684 (2002)

5. Starck, J.-L., Elad, M., Donoho, D.L.: Image Decomposition Via The Combination of Sparse Rrepresentations and a Variational Approach. IEEE Transactions on Image Processing, 1570–1582 (October 2005)

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