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» Image denoising using adaptive subband decomposition
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ICIP
2001
IEEE
14 years 9 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
TIP
2008
181views more  TIP 2008»
13 years 7 months ago
Sparse Representation for Color Image Restoration
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
Julien Mairal, Michael Elad, Guillermo Sapiro
ICIP
2000
IEEE
14 years 9 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ENGL
2007
107views more  ENGL 2007»
13 years 7 months ago
Pixel Fusion Based Curvelets and Wavelets Denoise Algorithm
—Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images. However artifacts those appear in the result images of curve...
Liyong Ma, Jiachen Ma, Yi Shen
ICIP
2008
IEEE
14 years 2 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu