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CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
13 years 6 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
TIP
2010
165views more  TIP 2010»
12 years 12 months ago
Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates
Imaging plays an important role in experimental fluid dynamics. It is equally important both for scientific research and a range of industrial applications. It is known, however, t...
Andrey Vlasenko, Christoph Schnörr
ICASSP
2008
IEEE
13 years 11 months ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar
EMMCVPR
2009
Springer
13 years 9 months ago
Reconstructing Optical Flow Fields by Motion Inpainting
An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifac...
Benjamin Berkels, Claudia Kondermann, Christoph S....
ICIP
2005
IEEE
14 years 7 months ago
Sampling in practice: is the best reconstruction space bandlimited?
Shannon's sampling theory and its variants provide effective solutions to the problem of reconstructing a signal from its samples in some "shift-invariant " space, ...
Sathish Ramani, Dimitri Van De Ville, Michael Unse...