Super-resolution image reconstruction techniques: Trade-offs between the data-fidelity and regularization terms
Stochastic regularized methods are quite advantageous in Super-Resolution (SR) image reconstruction problems. In the particular techniques the SR problem is formulated by means of two terms, the data-fidelity term and the regularization term. The present work examines the effect of each one of these...
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/10889/4841 |