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SIAM J. Imaging Sci. 4, pp. 57-78 (22 pages)
Directional Multiscale Amplitude and Phase Decomposition by the Monogenic Curvelet Transform
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Add to FacebookWe reconsider the continuous curvelet transform from a signal processing point of view. We show that the analyzing elements of the curvelet transform, the curvelets, can be understood as analytic signals in the sense of the partial Hilbert transform. We then generalize the usual curvelets by the monogenic curvelets, which are analytic signals in the sense of the Riesz transform. They yield a new transform, called the monogenic curvelet transform. This transform has the useful property that it behaves at the fine scales like the usual curvelet transform and at the coarse scales like the monogenic wavelet transform. In particular, the new transform is highly anisotropic at the fine scales and yields a well-interpretable amplitude/phase decomposition of the transform coefficients over all scales. We illustrate the advantage of this new directional multiscale amplitude/phase decomposition for the estimation of directional regularity.
© 2011 Society for Industrial and Applied Mathematics
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KEYWORDS
Keywords
curvelet transform, analytic signal, monogenic signal, Hilbert transform, Riesz transform, directional wavelet transformAMS Subject Headings
42C40
ARTICLE DATA
History
Received July 29, 2010
Accepted November 05, 2010
Published online January 20, 2011
Accepted November 05, 2010
Published online January 20, 2011
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