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Beschreibung
High-Resolution (HR) images play an important role in many image applications, such as remote sensing, medical diagnosis, surveillance video and pattern recognition. Super Resolution (SR) is an efficient method to obtain a High Resolution (HR) output from one of its Low Resolution (LR) versions. Nowadays, the deep learning algorithms are used to obtain super resolution images. In this book, a new super resolution model for image reconstruction based on the deep learning algorithms is presented.
The Practical Guide to Applying Super-Resolution Imaging for Image Reconstruction
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 09. Januar 2024 |
| Maße | 22 cm x 15 cm x 0.7 cm |
| Gewicht | 191 Gramm |
| Format | Softcover |
| ISBN-13 | 9786206165095 |
| Seiten | 116 |
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