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ICIP
1995
IEEE
14 years 6 months ago
3D super-resolution using generalized sampling expansion
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...
Hassan Shekarforoush, Marc Berthod, Josiane Zerubi...
ARC
2008
Springer
186views Hardware» more  ARC 2008»
13 years 7 months ago
FPGA-based Real-time Super-Resolution on an Adaptive Image Sensor
Recent technological advances in imaging industry have lead to the production of imaging systems with high density pixel sensors. However, their long exposure times limit their app...
Maria E. Angelopoulou, Christos-Savvas Bouganis, P...
ICCV
2005
IEEE
13 years 10 months ago
Patch Based Blind Image Super Resolution
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the ...
Qiang Wang, Xiaoou Tang, Harry Shum
TIP
2010
255views more  TIP 2010»
12 years 11 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
ISBI
2009
IEEE
13 years 11 months ago
3D Eigenfunction Expansion of Sparsely Sampled 2D Cortical Data
Various cortical measures such as cortical thickness are routinely computed along the vertices of cortical surface meshes. These metrics are used in surface-based morphometric stu...
Moo K. Chung, Yu-Chien Wu, Andrew L. Alexander