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基本説明
Contents: Image Zooming; Generalized Interpolation for Super-Resolution; Resolution Enhancement using Multiple Apertures; Super-Resolution from Mutual Motion.
Full Description
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.
Contents
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.
