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» An Adaptive Supersampling Method
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230
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ICIP
2006
IEEE
16 years 9 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
182
Voted
VIS
2009
IEEE
167views Visualization» more  VIS 2009»
16 years 9 months ago
Focus+Context Route Zooming and Information Overlay in 3D Urban Environments
In this paper we present a novel focus+context zooming technique, which allows users to zoom into a route and its associated landmarks in a 3D urban environment from a 45-degree bi...
Huamin Qu, Haomian Wang, Weiwei Cui, Yingcai Wu...
201
Voted
MICCAI
2008
Springer
16 years 8 months ago
Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI
Diffusion-Weighted MRI (DW-MRI) is subject to random noise yielding measures that are different from their real values, and thus biasing the subsequently estimated tensors. The Non...
Nicolas Wiest-Daesslé, Sylvain Prima, Pierr...
222
Voted
ICPR
2000
IEEE
16 years 8 months ago
Cooperation between Level Set Techniques and Dense 3D Registration for the Segmentation of Brain Structures
This paper presents a cooperative strategy between volumetric registration and segmentation. The segmentation method is based on the level set formalism. Starting from an initial ...
C. Baillard, Pierre Hellier, Christian Barillot
DAC
2005
ACM
16 years 8 months ago
MiniBit: bit-width optimization via affine arithmetic
MiniBit, our automated approach for optimizing bit-widths of fixed-point designs is based on static analysis via affine arithmetic. We describe methods to minimize both the intege...
Dong-U Lee, Altaf Abdul Gaffar, Oskar Mencer, Wayn...