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BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 11 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
ECCV
2010
Springer
13 years 11 months ago
A High-Quality Video Denoising Algorithm Based on Reliable Motion Estimation
Although the recent advances in the sparse representations of images have achieved outstanding denosing results, removing real, structured noise in digital videos remains a challen...
Ce Liu, William T. Freeman
ACIVS
2009
Springer
14 years 4 months ago
Dynamic Texture Extraction and Video Denoising
According to recent works, introduced by Y.Meyer [1] the decomposition models based on Total Variation (TV) appear as a very good way to extract texture from image sequences. Indee...
Mathieu Lugiez, Michel Ménard, Abdallah El-...
TSP
2010
13 years 4 months ago
Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
Matan Protter, Irad Yavneh, Michael Elad
EMMCVPR
2009
Springer
14 years 1 months ago
Complex Diffusion on Scalar and Vector Valued Image Graphs
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
Dohyung Seo, Baba C. Vemuri