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15 years 2 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
ISBI
2011
IEEE
14 years 1 months ago
K-SVD for HARDI denoising
Noise is an important concern in high-angular resolution diffusion imaging studies because it can lead to errors in downstream analyses of white matter structure. To address this ...
Vishal Patel, Yonggang Shi, Paul M. Thompson, Arth...
IPMI
2003
Springer
15 years 10 months ago
A Unified Variational Approach to Denoising and Bias Correction in MR
Abstract. We propose a novel bias correction method for magnetic resonance (MR) imaging that uses complementary body coil and surface coil images. The former are spatially homogene...
Ayres C. Fan, William M. Wells III, John W. Fisher...
ICIP
2002
IEEE
15 years 11 months ago
Applications of multiwavelet techniques to image denoising
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling ...
Aysin Ertüzün, Erdem Bala
ICIP
1994
IEEE
15 years 11 months ago
Wavelet Soft-Thresholding of Time-Frequency Representations
The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since h e a r smoothing ...
Richard G. Baraniuk