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» The Use of Residuals in Image Denoising
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CCIW
2009
Springer
14 years 3 months ago
Texture Sensitive Denoising for Single Sensor Color Imaging Devices
This paper presents a spatial noise reduction technique designed to work on CFA (Color Filter Array) data acquired by CCD/CMOS image sensors. The overall processing preserves image...
Angelo Bosco, Sebastiano Battiato, Arcangelo Bruna...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
DCC
2002
IEEE
14 years 8 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
MICCAI
2007
Springer
14 years 9 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, ...
ISBI
2004
IEEE
14 years 9 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...