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» The curvelet transform for image denoising
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ICIP
2001
IEEE
14 years 6 months ago
The curvelet transform for image denoising
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...
Emmanuel J. Candès
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
13 years 11 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
JVCIR
2010
177views more  JVCIR 2010»
13 years 3 months ago
Ripplet: A new transform for image processing
Efficient representation of images usually leads to improvements in storage efficiency, computational complexity and performance of image processing algorithms. Efficient represe...
Jun Xu, Lei Yang, Dapeng Wu
ICIP
2005
IEEE
13 years 10 months ago
Curvelet transform on the sphere
We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated wavelet transform, the pyramidal wavelet transform, the ridgelet transform and t...
Pierrick Abrial, Jean-Luc Starck, Yassir Moudden, ...
ICIP
2007
IEEE
14 years 6 months ago
Image Denoising with Directional Bases
Directional information is an important component of both natural and synthetic images, and it is exploited in many image processing applications. Directional basis analysis is us...
Heechan Park, Graham R. Martin, Zhen Yao