From Book News, Inc.
Editor Chaudhuri (electrical engineering, Indian Institute of Technology-Bombay) requested contributions from an international team of authors that would cover a range of problems and methods under the broad topic of super-resolution imaging--generating a very high- resolution image from a set of low-resolution observations--in order to provide a survey of the state of the field. The text is intended for upper-level undergraduates and graduate students in electrical engineering, computer science, and mathematics who are taking courses in image processing and computer vision, as well as for working researchers and engineers. A background in image processing isn't a prerequisite, but some knowledge of image restoration is helpful.Copyright © 2004 Book News, Inc., Portland, OR
Book 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.
Book Info
Serves as an essential reference for both academicians and practicing engineers. The first book to cover the new research area of super-resolution imaging.
Super-Resolution Imaging SYNOPSIS
Editor Chaudhuri (electrical engineering, Indian Institute of Technology-Bombay) requested contributions from an international team of authors that would cover a range of problems and methods under the broad topic of super-resolution imaginggenerating a very high- resolution image from a set of low-resolution observationsin order to provide a survey of the state of the field. The text is intended for upper-level undergraduates and graduate students in electrical engineering, computer science, and mathematics who are taking courses in image processing and computer vision, as well as for working researchers and engineers. A background in image processing isn't a prerequisite, but some knowledge of image restoration is helpful. Annotation c. Book News, Inc., Portland, OR (booknews.com)