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Bestseller
BestsellerE-book
Author Rajagopalan, A. N.

Title Motion Deblurring : Algorithms and Systems.

Publication Info. Cambridge : Cambridge University Press, 2014.

Item Status

Description 1 online resource (310 pages)
text file
Contents Cover; Half Title; Title Page; Copyright; Contents; List of contributors; Preface; 1 Mathematical models and practical solvers for uniform motion deblurring; 1.1 Non-blind deconvolution; 1.1.1 Regularized approaches; 1.1.2 Iterative approaches; 1.1.3 Recent advancements; 1.1.4 Variable splitting solver; 1.1.5 A few results; 1.2 Blind deconvolution; 1.2.1 Maximum marginal probability estimation; 1.2.2 Alternating energy minimization; 1.2.3 Implicit edge recovery; 1.2.4 Explicit edge prediction for very large PSF estimation; 1.2.5 Results and running time; 2 Spatially-varying image deblurring.
2.1 Review of image deblurring methods2.2 A unified camera-shake blur model; 2.2.1 Blur matrices; 2.2.2 Spatially-varying deconvolution; 2.3 Single image deblurring using motion density functions; 2.3.1 Optimization formulation; 2.3.2 Our system for MDF-based deblurring; 2.3.3 Experiments and results; 2.4 Image deblurring using inertial measurement sensors; 2.4.1 Deblurring using inertial sensors; 2.4.2 Deblurring system; 2.4.3 Results; 2.5 Generating sharp panoramas from motion-blurred videos; 2.5.1 Motion and duty cycle estimation; 2.5.2 Experiments; 2.5.3 Real videos; 2.6 Discussion.
3 Hybrid-imaging for motion deblurring3.1 Introduction; 3.2 Fundamental resolution tradeoff; 3.3 Hybrid-imaging systems; 3.4 Shift-invariant PSF image deblurring; 3.4.1 Parametric motion computation; 3.4.2 Shift-invariant PSF estimation; 3.4.3 Image deconvolution; 3.4.4 Examples -- shift-invariant PSF; 3.4.5 Shift-invariant PSF optimization; 3.4.6 Examples -- optimized shift-invariant PSF; 3.5 Spatially-varying PSF image deblurring; 3.5.1 Examples -- spatially-varying PSF; 3.6 Moving object deblurring; 3.7 Discussion and summary; 4 Efficient, blind, spatially-variant deblurring for shaken images.
4.1 Introduction4.2 Modelling spatially-variant camera-shake blur; 4.2.1 Components of camera motion; 4.2.2 Motion blur and homographies; 4.2.3 Camera calibration; 4.2.4 Uniform blur as a special case; 4.3 The computational model; 4.4 Blind estimation of blur from a single image; 4.4.1 Updating the blur kernel; 4.4.2 Updating the latent image; 4.5 Efficient computation of the spatially-variant model; 4.5.1 A locally-uniform approximation for camera shake; 4.5.2 Updating the blur kernel; 4.5.3 Updating the latent image: fast, non-iterative, non-blind deconvolution.
4.6 Single-image deblurring results4.6.1 Limitations and failures; 4.7 Implementation; 4.8 Conclusion; 5 Removing camera shake in smartphones without hardware stabilization; 5.1 Introduction; 5.2 Image acquisition model; 5.2.1 Space-invariant model; 5.2.2 Space-variant model; 5.3 Inverse problem; 5.3.1 MAP and beyond; 5.3.2 Getting more prior information; 5.3.3 Patch based; 5.4 Pinhole camera model; 5.5 Smartphone application; 5.5.1 Space-invariant implementation; 5.5.2 Space-variant implementation; 5.6 Evaluation; 5.7 Conclusions; 6 Multi-sensor fusion for motion deblurring; 6.1 Introduction.
Summary Comprehensive guide to the restoration of images degraded by motion blur, encompassing algorithms and architectures, with novel computational photography methods.
Bibliography Includes bibliographical references and index.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Image processing -- Mathematical models.
Image processing -- Mathematical models.
Image processing.
Image processing -- Digital techniques.
Image processing -- Digital techniques.
Digital video -- Editing -- Mathematics.
Digital video -- Editing.
Mathematics.
Photography -- Retouching -- Data processing.
Photography -- Retouching -- Data processing.
Photography -- Retouching.
Genre/Form Electronic books.
Added Author Chellappa, Rama.
Other Form: Print version: Rajagopalan, A.N. Motion Deblurring : Algorithms and Systems. Cambridge : Cambridge University Press, ©2014 9781107044364
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