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...
| Κύριοι συγγραφείς: | Panagiotopoulou, Antigoni, Anastassopoulos, Vassilis |
|---|---|
| Άλλοι συγγραφείς: | Παναγιωτοπούλου, Αντιγόνη |
| Μορφή: | Journal (paper) |
| Γλώσσα: | English |
| Έκδοση: |
2011
|
| Θέματα: | |
| Διαθέσιμο Online: | http://hdl.handle.net/10889/4841 |
Παρόμοια τεκμήρια
-
Multi-Frame Super-Resolution Image Reconstruction Employing the Novel Estimator L1inv-Norm
ανά: Panagiotopoulou, Antigoni
Έκδοση: (2012) -
Regularized super-resolution image reconstruction employing robust error norms
ανά: Panagiotopoulou, Antigoni, κ.ά.
Έκδοση: (2011) -
Super-resolution image reconstruction employing Kriging interpolation technique
ανά: Panagiotopoulou, Antigoni, κ.ά.
Έκδοση: (2011) -
Μέθοδοι βελτίωσης της χωρικής ανάλυσης ψηφιακής εικόνας
ανά: Παναγιωτοπούλου, Αντιγόνη
Έκδοση: (2010) -
Interpolation in multispectral data using neural networks
ανά: Tsagaris, Vassilis, κ.ά.
Έκδοση: (2011)