Image super-resolution and applications
Preface We know what you are asking yourself. There are a lot of books available in image processing so what is novel in this book?' We can summarize the answer with the following points 1. This book is devoted to the issue of obtaining high-resolution images from single or multiple low-resolut...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
Taylor & Francis
2013.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672536706719 |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Acknowledgments; Authors; Chapter 1 - Introduction; Chapter 2 - Polynomial Image Interpolation; Chapter 3 - Adaptive Polynomial Image Interpolation; Chapter 4 - Neural Modeling of Polynomial Image Interpolation; Chapter 5 - Color Image Interpolation; Chapter 6 - Image Interpolation for Pattern Recognition; Chapter 7 - Image Interpolation as Inverse Problem; Chapter 8 - Image Registration; Chapter 9 - Image Fusion; Chapter 10 - Super-Resolution with a Priori Information; Chapter 11 - Blind Super-Resolution Reconstruction of Images; Appendix A: Discrete B-Splines
- Appendix B: Toeplitz-to-Circulant ApproximationsAppendix C: Newton's Method; Appendix D: MATLAB® Codes; References; Back Cover
