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ICIP
2008
IEEE
13 years 11 months ago
Total variation super resolution using a variational approach
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
DAGM
2009
Springer
13 years 9 months ago
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Abstract. In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed...
Dennis Mitzel, Thomas Pock, Thomas Schoenemann, Da...
ICASSP
2011
IEEE
12 years 8 months ago
Multi image super resolution using compressed sensing
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
Torsten Edeler, Kevin Ohliger, Stephan Hussmann, A...
MIMI
2007
Springer
13 years 11 months ago
Application of Tikhonov Regularization to Super-Resolution Reconstruction of Brain MRI Images
This paper presents an image super-resolution method that enhances spatial resolution of MRI images in the slice-select direction. The algorithm employs Tikhonov regularization, us...
Xin Zhang, Edmund Y. Lam, Ed X. Wu, Kenneth K. Y. ...
VISSYM
2007
13 years 7 months ago
Parametric Visualization of High Resolution Correlated Multi-spectral Features Using PCA
An imaging mass spectrometer is an analytical instrument that can determine the spatial distribution of chemical compounds on complex surfaces. The output of the device is a multi...
Alexander Broersen, Robert van Liere, Ron M. A. He...