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 |