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Curvelet

Known as: Curvlet 
Curvelets are a non-adaptive technique for multi-scale object representation. Being an extension of the wavelet concept, they are becoming popular in… Expand
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Papers overview

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Highly Cited
2009
Highly Cited
2009
Multiresolution ideas, notably the wavelet transform, have been proved quite useful for analyzing the information content of… Expand
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Highly Cited
2008
Highly Cited
2008
SUMMARY Seismic data recovery from data with missing traces on otherwise regular acquisition grids forms a crucial step in the… Expand
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Highly Cited
2007
Highly Cited
2007
This paper presents an image fusion method suitable for pan-sharpening of multispectral (MS) bands, based on nonseparable… Expand
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Highly Cited
2006
Highly Cited
2006
This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet… Expand
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Highly Cited
2005
Highly Cited
2005
A useful technique in various applications of remote sensing involves the fusion of different types of satellite images, namely… Expand
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Highly Cited
2005
Highly Cited
2005
We develop a unifying perspective on several decompositions exhibiting directional parabolic scaling. In each decomposition, the… Expand
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Highly Cited
2003
Highly Cited
2003
We discuss a Continuous Curvelet Transform (CCT), a transform f → Γf (a, b, θ) of functions f(x1, x2) on R , into a transform… Expand
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Highly Cited
2003
Highly Cited
2003
We outline digital implementations of two newly developed multiscale representation systems, namely, the ridgelet and curvelet… Expand
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Highly Cited
2001
Highly Cited
2001
Summary form only given, as follows. We present approximate digital implementations of two new mathematical transforms, namely… Expand
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Highly Cited
1999
Highly Cited
1999
Recently, Candes and Donoho introduced the curvelet transform, a new multiscale representation suited for objects which are… Expand
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