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TIP
2011
231views more  TIP 2011»
13 years 2 months ago
Variational Bayesian Super Resolution
—In this paper, we address the super resolution (SR) problemfromasetofdegradedlowresolution(LR)imagestoobtain a high resolution (HR) image. Accurate estimation of the sub-pixel m...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
ICCV
2007
IEEE
14 years 9 months ago
Penrose Pixels Super-Resolution in the Detector Layout Domain
We present a novel approach to reconstruction based superresolution that explicitly models the detector's pixel layout. Pixels in our model can vary in shape and size, and th...
Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn
ICIP
2005
IEEE
14 years 9 months ago
Image acquisition modeling for super-resolution reconstruction
Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images. Most super-resolution reconstruction methods neglect ...
Murat Gevrekci, Bahadir K. Gunturk
CORR
2008
Springer
177views Education» more  CORR 2008»
13 years 7 months ago
Toeplitz Block Matrices in Compressed Sensing
: This paper addresses the problem of reconstructing an image from 1-bit-quantized measurements, considering a simple but nonconventional optical acquisition model. Following a com...
Florian Sebert, Leslie Ying, Yi Ming Zou
IPMI
2009
Springer
14 years 8 months ago
Diffusion Propagator Imaging: Using Laplace's Equation and Multiple Shell Acquisitions to Reconstruct the Diffusion Propagator
Many recent single-shell high angular resolution diffusion imaging reconstruction techniques have been introduced to reconstruct orientation distribution functions (ODF) that only ...
Maxime Descoteaux, Rachid Deriche, Denis Le Bihan,...