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» Total Variation Based Oversampling of Noisy Images
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ICVGIP
2008
13 years 8 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
ISBI
2011
IEEE
12 years 11 months ago
Extraction and analysis of actin networks based on Open Active Contour models
Network structures formed by actin filaments are present in many kinds of fluorescence microscopy images. In order to quantify the conformations and dynamics of such actin fila...
Ting Xu, Hongsheng Li, Tian Shen, Nikola Ojkic, Di...
SIAMSC
2010
161views more  SIAMSC 2010»
13 years 5 months ago
Surface Reconstruction and Image Enhancement via L1-Minimization
A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algor...
Veselin Dobrev, Jean-Luc Guermond, Bojan Popov
MICCAI
2006
Springer
14 years 8 months ago
Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model
Abstract. Quality of segmentations obtained by 3D Active Appearance Models (AAMs) crucially depends on underlying training data. MRI heart data, however, often come noisy, incomple...
Jirí Hladuvka, Katja Bühler, Sebastian...
DAGM
2007
Springer
14 years 1 months ago
A Duality Based Approach for Realtime TV-L1 Optical Flow
Variational methods are among the most successful approaches to calculate the optical flow between two image frames. A particularly appealing formulation is based on total variati...
Christopher Zach, Thomas Pock, Horst Bischof