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CVPR
2008
IEEE
13 years 7 months ago
Intensity statistics-based HSI diffusion for color photo denoising
This paper presents a new image denoising model for real color photo noise removal. Our model is implemented in the hue, saturation and intensity (HSI) space. The hue and saturati...
Lei He, Chunming Li, Chenyang Xu
TOG
2012
178views Communications» more  TOG 2012»
11 years 10 months ago
Reconstructing the indirect light field for global illumination
Stochastic techniques for rendering indirect illumination suffer from noise due to the variance in the integrand. In this paper, we describe a general reconstruction technique tha...
Jaakko Lehtinen, Timo Aila, Samuli Laine, Fr&eacut...
ICCV
2001
IEEE
14 years 9 months ago
What Value Covariance Information in Estimating Vision Parameters?
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
Michael J. Brooks, Wojciech Chojnacki, Darren Gawl...
TIP
2002
133views more  TIP 2002»
13 years 7 months ago
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
Abstract--This paper presents a new wavelet-based image denoising method, which extends a recently emerged "geometrical" Bayesian framework. The new method combines three...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
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, ...