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» Total Variation Based Oversampling of Noisy Images
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ICCV
2009
IEEE
1407views Computer Vision» more  ICCV 2009»
15 years 11 days ago
Superresolution Texture Maps for Multiview Reconstruction
We study the scenario of a multiview setting, where several calibrated views of a textured object with known surface geometry are available. The objective is to estimate a diffu...
Bastian Goldluecke, Daniel Cremers
ICIP
2003
IEEE
14 years 9 months ago
PDE-based denoising of complex scenes using a spatially-varying fidelity term
The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though ed...
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
BILDMED
2009
215views Algorithms» more  BILDMED 2009»
13 years 8 months ago
Vector Extrapolation-Based Acceleration of Regularized Richardson Lucy Image Deblurring
Confocal fluorescence microscopy has become an important tool in biological and medical sciences for imaging thin specimen, even living ones. Due to out-of-focus blurring and noise...
Steffen Remmele, Jürgen Hesser
CVPR
2010
IEEE
14 years 3 months ago
Fast Global Optimization of Curvature
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpain...
Noha El-Zehiry, Leo Grady
MICCAI
2007
Springer
14 years 8 months ago
Non-Local Means Variants for Denoising of Diffusion-Weighted and Diffusion Tensor MRI
Abstract. Diffusion tensor imaging (DT-MRI) is very sensitive to corrupting noise due to the non linear relationship between the diffusionweighted image intensities (DW-MRI) and th...
Christian Barillot, Nicolas Wiest-Daesslé, ...