Super-Resolution Imaging
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 has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the l…
Read More ↓Title Statements
- Full title :Super-Resolution Imaging.
Summary
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 has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and serves as a starting point for exploration into the state of the art in the field. It describes the latest in both theoretical and practical aspects of direct relevance to academia and industr.
Read More ↓Edition Statements
- Publication Date:2010.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Hoboken
- Language:eng
- Publication Date:2010.
The Physical Object
- Description:1 online resource (492 pages).
Edition Identifiers
- ISBN:9781439819319, 1439819319
- oclc:ocn665581440
- LC Classification:TA1637.S86 2011
- Dewey Decimal:621.367
Table of Contents
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 S.
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