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TIP
1998
128views more  TIP 1998»
14 years 10 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
104
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Publication
336views
15 years 3 months ago
A Discriminative approach for Wavelet Shrinkage Denoising
This paper suggests a discriminative approach for wavelet denoising where a set of mapping functions (MF) are applied to the transform coefficients in an attempt to produce a noi...
Yacov Hel-Or and Doron Shaked
TMI
1998
134views more  TMI 1998»
14 years 10 months ago
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing
Abstract— This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, we apply...
Xuli Zong, Andrew Laine, Edward A. Geiser
PAMI
2010
135views more  PAMI 2010»
14 years 9 months ago
A Variational Approach to Degraded Document Enhancement
—The goal of this paper is to correct bleed-through in degraded documents using a variational approach. The variational model is adapted using an estimated background according t...
Reza Farrahi Moghaddam, Mohamed Cheriet
BMCBI
2006
140views more  BMCBI 2006»
14 years 10 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma