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Motion Deblurring : Algorithms and Systems, PDF eBook

PDF

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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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