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» Sampling and Reconstruction of Operators
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ICIP
2009
IEEE
14 years 8 months ago
Compressed Sensing Of Natural Images
Compressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose and study block compressed sensing for natural images, where i...
VISUALIZATION
2005
IEEE
14 years 1 months ago
Reconstructing Manifold and Non-Manifold Surfaces from Point Clouds
This paper presents a novel approach for surface reconstruction from point clouds. The proposed technique is general in the sense that it naturally handles both manifold and non-m...
Jianning Wang, Manuel M. Oliveira, Arie E. Kaufman
SUTC
2010
IEEE
13 years 6 months ago
Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
Mohammadreza Mahmudimanesh, Abdelmajid Khelil, Nee...
ICIP
2010
IEEE
13 years 5 months ago
A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising
In most digital cameras, color images are captured by a sensor overlaid by the Bayer color filter array (CFA). Denoisaicking (joint demosaicking and denoising) consists in reconst...
Laurent Condat
SODA
2001
ACM
67views Algorithms» more  SODA 2001»
13 years 9 months ago
Reconstructing a collection of curves with corners and endpoints
We present an algorithm which provably reconstructs a collection of curves with corners and endpoints from a sample set that satisfies a certain sampling condition. The algorithm ...
Stefan Funke, Edgar A. Ramos