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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Riedinger, C. Khemakhem, M.N. Chollet, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: TSI Department - Télécom-ParisTech, 37-39, rue Dareau, 75014, Paris - France (Riedinger, C.; Khemakhem, M.N.; Chollet, G.) |
| Abstract | This paper proposes a comparative study of various super resolution (SR) techniques: Spectral approach, Interpolation and fusion, Wiener filtering, Maximum A Posteriori (MAP), Eigenfaces reconstruction and Projection Onto Convex Sets (POCS). MAP, Eigenfaces, Wiener filtering and POCS have been implemented and experimented on gray level images. We compare the performances of the algorithms on standard test protocols. The POCS and MAP give similar results. Blind SR [4], hybrid methods POCS-MAP and also the improvement of algorithms so that they can operate in real time are future directions for research work. |
| Starting Page | 386 |
| Ending Page | 392 |
| File Size | 577304 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467316576 |
| e-ISBN | 9781467316583 |
| DOI | 10.1109/SETIT.2012.6481946 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-03-21 |
| Publisher Place | Tunisia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Eigenfaces Wiener filters Correlation Image resolution Wiener Discrete Fourier transforms Frequential domain POCS Image reconstruction Equations Super resolution Interpolation Sensors MAP |
| Content Type | Text |
| Resource Type | Article |
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