Super-resolution imaging / / edited by Peyman Milanfar |
Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2011 |
Descrizione fisica | 1 online resource (492 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) | MilanfarPeyman |
Collana | Digital imaging and computer vision |
Soggetto topico |
High resolution imaging
Image processing - Digital techniques |
Soggetto genere / forma | Electronic books. |
ISBN |
1-315-21799-6
1-4398-1931-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front cover; Contents; Preface; Chapter 1: Image Super-Resolution: Historical Overviewand Future Challenges; Chapter 2: Super-Resolution Using Adaptive Wiener Filters; Chapter 3: Locally Adaptive Kernel Regression for Space-Time Super-Resolution; Chapter 4: Super-Resolution with Probabilistic Motion Estimation; Chapter 5: Spatially Adaptive Filtering asRegularization in Inverse Imaging:Compressive Sensing, Super-Resolution, and Upsampling; Chapter 6: Registration for Super-Resolution: Theory,Algorithms, and Applications in Image and Mobile Video Enhancement
Chapter 7: Towards Super-Resolution in the Presence of Spatially Varying BlurChapter 8: Toward Robust Reconstruction-Based Super-Resolution; Chapter 9: Multiframe Super-Resolution from a Bayesian Perspective; Chapter 10: Variational Bayesian Super-Resolution Reconstruction; Chapter 11: Pattern Recognition Techniques for Image Super-Resolution; Chapter 12: Super-Resolution Reconstruction of Multichannel Images; Chapter 13: New Applications of Super-Resolution in Medical Imaging; Chapter 14: Practicing Super-Resolution: What Have We Learned?; Index; Back cover |
Record Nr. | UNINA-9910460033103321 |
Boca Raton : , : CRC Press, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Super-resolution imaging / / edited by Peyman Milanfar |
Pubbl/distr/stampa | Boca Raton : , : CRC Press, , 2011 |
Descrizione fisica | 1 online resource (492 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) | MilanfarPeyman |
Collana | Digital imaging and computer vision |
Soggetto topico |
High resolution imaging
Image processing - Digital techniques |
ISBN |
1-351-83388-X
1-315-21799-6 1-4398-1931-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front cover; Contents; Preface; Chapter 1: Image Super-Resolution: Historical Overviewand Future Challenges; Chapter 2: Super-Resolution Using Adaptive Wiener Filters; Chapter 3: Locally Adaptive Kernel Regression for Space-Time Super-Resolution; Chapter 4: Super-Resolution with Probabilistic Motion Estimation; Chapter 5: Spatially Adaptive Filtering asRegularization in Inverse Imaging:Compressive Sensing, Super-Resolution, and Upsampling; Chapter 6: Registration for Super-Resolution: Theory,Algorithms, and Applications in Image and Mobile Video Enhancement
Chapter 7: Towards Super-Resolution in the Presence of Spatially Varying BlurChapter 8: Toward Robust Reconstruction-Based Super-Resolution; Chapter 9: Multiframe Super-Resolution from a Bayesian Perspective; Chapter 10: Variational Bayesian Super-Resolution Reconstruction; Chapter 11: Pattern Recognition Techniques for Image Super-Resolution; Chapter 12: Super-Resolution Reconstruction of Multichannel Images; Chapter 13: New Applications of Super-Resolution in Medical Imaging; Chapter 14: Practicing Super-Resolution: What Have We Learned?; Index; Back cover |
Record Nr. | UNINA-9910785156303321 |
Boca Raton : , : CRC Press, , 2011 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Super-resolution imaging / / edited by Peyman Milanfar |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Boca Raton, : CRC Press, 2010 |
Descrizione fisica | 1 online resource (492 p.) |
Disciplina | 621.36/7 |
Altri autori (Persone) | MilanfarPeyman |
Collana | Digital imaging and computer vision |
Soggetto topico |
High resolution imaging
Image processing - Digital techniques |
ISBN |
1-351-83388-X
1-315-21799-6 1-4398-1931-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front cover; Contents; Preface; Chapter 1: Image Super-Resolution: Historical Overviewand Future Challenges; Chapter 2: Super-Resolution Using Adaptive Wiener Filters; Chapter 3: Locally Adaptive Kernel Regression for Space-Time Super-Resolution; Chapter 4: Super-Resolution with Probabilistic Motion Estimation; Chapter 5: Spatially Adaptive Filtering asRegularization in Inverse Imaging:Compressive Sensing, Super-Resolution, and Upsampling; Chapter 6: Registration for Super-Resolution: Theory,Algorithms, and Applications in Image and Mobile Video Enhancement
Chapter 7: Towards Super-Resolution in the Presence of Spatially Varying BlurChapter 8: Toward Robust Reconstruction-Based Super-Resolution; Chapter 9: Multiframe Super-Resolution from a Bayesian Perspective; Chapter 10: Variational Bayesian Super-Resolution Reconstruction; Chapter 11: Pattern Recognition Techniques for Image Super-Resolution; Chapter 12: Super-Resolution Reconstruction of Multichannel Images; Chapter 13: New Applications of Super-Resolution in Medical Imaging; Chapter 14: Practicing Super-Resolution: What Have We Learned?; Index; Back cover |
Record Nr. | UNINA-9910808976103321 |
Boca Raton, : CRC Press, 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|