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» The curvelet transform for image denoising
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ICPR
2006
IEEE
15 years 3 months ago
Multiscale Feature Extraction of Finger-Vein Patterns Based on Curvelets and Local Interconnection Structure Neural Network
In this paper, we originally propose a multiscale feature extraction method of finger-vein patterns based on curvelets and local interconnection structure neural networks. The cur...
Zhongbo Zhang, Siliang Ma, Xiao Han
ESIAT
2009
IEEE
15 years 26 days ago
A New Method of Image Denoise Using Contourlet Transform
—In all methods of image denoising, there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but ...
Xingmei Li, Guoping Yan, Liang Chen
ICASSP
2008
IEEE
15 years 4 months ago
SURE-LET multichannel image denoising: undecimated wavelet thresholding
We propose an extension of the recently devised SURE-LET grayscale denoising approach for multichannel images. Assuming additive Gaussian white noise, the unknown linear parameter...
Florian Luisier, Thierry Blu
ICIP
2010
IEEE
14 years 7 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
BMCBI
2011
14 years 4 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham