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» The Use of Residuals in Image Denoising
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ICMCS
2010
IEEE
191views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Disparity-compensated compressed-sensing reconstruction for multiview images
In a multiview-imaging setting, image-acquisition costs could be substantially diminished if some of the cameras operate at a reduced quality. Compressed sensing is proposed to ef...
Maria Trocan, Thomas Maugey, James E. Fowler, B&ea...
MICCAI
2004
Springer
14 years 2 months ago
Stereo-Based Endoscopic Tracking of Cardiac Surface Deformation
We propose an image-based motion tracking algorithm that can be used with stereo endoscopic and microscope systems. The tracking problem is considered to be a time-varying optimiza...
William W. Lau, Nicholas A. Ramey, Jason J. Corso,...
CVPR
2007
IEEE
14 years 10 months ago
Learning Gaussian Conditional Random Fields for Low-Level Vision
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
Marshall F. Tappen, Ce Liu, Edward H. Adelson, Wil...
IWCM
2004
Springer
14 years 2 months ago
Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions
Abstract. Motion estimation is essential in a variety of image processing and computer vision tasks, like video coding, tracking, directional filtering and denoising, scene analys...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth
JMLR
2008
139views more  JMLR 2008»
13 years 8 months ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman