Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics.
The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics:
- Image zooming based on wavelets and generalized interpolation;
- Super-resolution from sub-pixel shifts;
- Use of blur as a cue;
- Use of warping in super-resolution;
- Resolution enhancement using multiple apertures;
- Super-resolution from motion data;
- Super-resolution from compressed video;
- Limits in super-resolution imaging.
Written by the leading experts in the field,
Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.
Inhaltsverzeichnis
Image Zooming: Use of Wavelets. - Generalized Interpolation for Super-Resolution. - Reconstruction of a High Resolution Image from Multiple Low Resolution Images. - Super-Resolution Imaging Using Blur as a Cue. - Super-Resolution via Image Warping. - Resolution Enhancement Using Multiple Apertures. - Super-Resolution from Multiple Images Having Arbitrary Mutual Motion. - Super-Resolution from Compressed Video. - Super-Resolution: Limits and Beyond.
