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TIP
2002
130views more  TIP 2002»
13 years 4 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
TIP
2008
135views more  TIP 2008»
13 years 4 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma
MICCAI
2007
Springer
14 years 5 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, ...
ICIP
2001
IEEE
14 years 6 months ago
Variable-conductance, level-set curvature for image denoising
This paper describes a partial differential equation for denoising images. The proposed method is demonstrably superior to anisotropic diffusion (and it's many variations) fo...
Ross T. Whitaker, Xinwei Xue
ICIP
2000
IEEE
13 years 9 months ago
Chromaticity Diffusion
—A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing e...
Bei Tang, Guillermo Sapiro, Vicent Caselles