Regularized super-resolution image reconstruction employing robust error norms
A high-resolution image is reconstructed from a sequence of subpixel shifted, aliased low-resolution frames, by means of stochastic regularized super-resolution (SR) image reconstruction. The Tukey (T), Lorentzian (L), and Huber (H) cost functions are employed for the data-fidelity term. The perform...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal (paper) |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10889/4839 |