A novel infrared image super-resolution method based on sparse representation
• Instability of the sparse decomposition and self-similarity of images are considered in the training stage. • Detail parts are selected as the object of the proposed method. • Our method has robustness to non-uniformity. • Proposed method greatly reduces the artifacts caused by the instability of...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Yao [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
8 |
|---|
| Übergeordnetes Werk: |
Enthalten in: 274: Low-dose aspirin improves trophoblastic function in early-onset pre-eclampsia - da Silva Costa, Fabricio ELSEVIER, 2014, an international research journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:71 ; year:2015 ; pages:506-513 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.infrared.2015.06.017 |
|---|
| Katalog-ID: |
ELV023888326 |
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| 520 | |a • Instability of the sparse decomposition and self-similarity of images are considered in the training stage. • Detail parts are selected as the object of the proposed method. • Our method has robustness to non-uniformity. • Proposed method greatly reduces the artifacts caused by the instability of the sparse decomposition. | ||
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• Instability of the sparse decomposition and self-similarity of images are considered in the training stage. • Detail parts are selected as the object of the proposed method. • Our method has robustness to non-uniformity. • Proposed method greatly reduces the artifacts caused by the instability of the sparse decomposition. |
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• Instability of the sparse decomposition and self-similarity of images are considered in the training stage. • Detail parts are selected as the object of the proposed method. • Our method has robustness to non-uniformity. • Proposed method greatly reduces the artifacts caused by the instability of the sparse decomposition. |
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