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Record Nr. |
UNINA9910460033103321 |
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Titolo |
Super-resolution imaging / / edited by Peyman Milanfar |
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Pubbl/distr/stampa |
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Boca Raton : , : CRC Press, , 2011 |
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ISBN |
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1-315-21799-6 |
1-4398-1931-9 |
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Descrizione fisica |
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1 online resource (492 p.) |
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Collana |
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Digital imaging and computer vision |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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High resolution imaging |
Image processing - Digital techniques |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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Sommario/riassunto |
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With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next ""killer app."" The growing interest in this technology |
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