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  3. Motion Deblurring
  • Cited by 32
Publisher:
Cambridge University Press
Online publication date:
June 2014
Print publication year:
2014
Online ISBN:
9781107360181
DOI:
https://doi.org/10.1017/CBO9781107360181
Subjects:
Engineering, Computer Science, Computer Graphics, Image Processing and Robotics, Image Processing and Machine Vision
Information

Book description

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.

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