Motion Deblurring - Algorithms and Systems (Hardcover)

A.N. Rajagopalan, Rama Chellappa

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A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research. It encompasses both algorithms and architectures, providing detailed coverage of practical techniques by leading researchers. From an algorithms perspective, blind and non-blind approaches are discussed, including the use of single or multiple images; projective motion blur model; image priors and parametric models; high dynamic range imaging in the irradiance domain; and image recognition in blur. Performance limits for motion deblurring cameras are also presented. From a systems perspective, hybrid frameworks combining low-resolution-high-speed and high-resolution-low-speed cameras are described, along with the use of inertial sensors and coded exposure cameras. Also covered is an architecture exploiting compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	May 2014
First published:	May 2014
Editors:	A.N. Rajagopalan • Rama Chellappa
Dimensions:	255 x 178 x 20mm (L x W x T)
Format:	Hardcover
Pages:	306
ISBN-13:	978-1-107-04436-4
Categories:	Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-107-04436-7
Barcode:	9781107044364