Results 81 to 90 of about 39,050 (216)
Wavelet packet denoising of magnetic resonance images: Importance of Rician noise at low SNR
, 1999 John C. Wood, Kevin M. Johnson
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Interscale image denoising with wavelet context modeling [PDF]
, 2004 Lei Zhang, Paul Bao, David Zhang
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, 1997 We present a new method for image denoising based on singularity analysis. The image is characterized via its multifractal spectrum, which mode yields the most frequent H�lder exponent. Using 2-microlocal analysis, we define an operator that shifts the spectrum so that the transformed image has almost sure H�lder exponent a little above 2.
Lévy Véhel, Jacques +1 more
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Adaptive wavelet thresholding for image denoising and compression
, 2000 Shih-Fu Chang, Bin Yu, Martin Vetterli
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A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion [PDF]
, 2005 George Papandreou, Petros Maragos
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Comparing methods to denoise mammographic images [PDF]
, 2005 P. Mayo, F. Ródenas, G. Verdú
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Research Progress of Denoising Algorithms for Diffusion Tensor Images
Chinese Journal of Magnetic ResonanceDiffusion tensor imaging is an essential technique to study tissue brain microstructure and the distribution of white matter fiber tracts. However, affected by the diffusion-weighted signal attenuation and long echo time, diffusion tensor images suffer ...
YANG Liming, WANG Yuanjun
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Learning General Features From Images and Audio With Stacked Denoising Autoencoders
, 2000 Nathaniel Nifong
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSince synthetic aperture radar (SAR) images have complex noise and have no clean reference images, SAR image denoising is very challenging. With the development of deep learning, several denoising algorithms based on deep learning are proposed to achieve
Shuaiqi Liu +6 more
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