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(Ebook PDF) Motion Deblurring Algorithms and Systems 1st edition by Rajagopalan, Rama Chellappa 1107044367 9781107044364 Full chapter

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Motion Deblurring Algorithms and Systems Rajagopalan A.N. Digital Instant Download

Author(s): Rajagopalan A.N., Chellappa R. (eds.)
ISBN(s): 9781107044364, 1107044367
Edition: draft
File Details: PDF, 13.41 MB
Year: 2014
Language: english
SKU: EB-4677414 Category: Tags: ,

Motion Deblurring Algorithms and Systems 1st edition by A.N. Rajagopalan, Rama Chellappa – Ebook PDF Instant Download/Delivery: 1107044367, 978-11070443674
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Product details:

ISBN 10:         1107044367
ISBN 13: 978-1107044364
Author:          A.N. Rajagopalan, Rama Chellappa

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.
 

Motion Deblurring Algorithms and Systems 1st Table of contents:

  1. Mathematical Models and Practical Solvers for Uniform Motion Deblurring
    Jiaya Jia

  2. Spatially Varying Image Deblurring
    Neel Joshi, Sing Bing Kang, and Richard Szeliski

  3. Hybrid-Imaging for Motion Deblurring
    Moshe Ben-Ezra, Yu-Wing Tai, Michael Brown, and Shree Nayar

  4. Removing Camera Shake in Smartphones Without Hardware Stabilization
    Filip Sroubek and Jan Flusser

  5. Richardson–Lucy Deblurring for Scenes Under a Projective Motion Path
    Yu-Wing Tai and Michael Brown

  6. Multi-Sensor Fusion for Motion Deblurring
    Jingyi Yu

  7. Flutter-Shutter Cameras for Motion Deblurring
    Amit Agrawal

  8. Efficient, Blind, Spatially-Variant Deblurring for Shaken Images
    Oliver Whyte, Josef Sivic, Andrew Zisserman, and Jean Ponce

  9. Coded-Exposure Motion Deblurring for Recognition
    Scott McCloskey

  10. HDR Imaging in the Presence of Motion Blur
    C. S. Vijay, C. Paramanand, and A. N. Rajagopalan

  11. Compressive Video Sensing to Tackle Motion Blur
    Ashok Veeraraghavan

  12. Direct Recognition of Motion Blurred Faces
    Kaushik Mitra, Priyanka Vageeswaran, and Rama Chellappa

  13. Performance Limits for Motion Deblurring Cameras
    Olliver Cossairt and Mohit Gupta

  14.  

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