This book presents a coherent framework for the analysis & design of algorithms to estimate 3-D shape from defocused & motion blurred images, & to eliminate defocus & motion blur to yield 'restored' images. It provides a collection of algorithms that are optimal with respect to the chosen model & estimation criterion. Topics & Features: Comprehensive introduction Basic models of image formation Discussion of least-squares shape from defocus Unifying defocus & motion blur Handling multiple moving objects Dealing with occlusions Appendices supply the necessary background in optimization & regularization contains implementations of relevant algorithms, test data & demos. Written for readers with interests in image processing & computer vision & with backgrounds in engineering, science or mathematics, this highly practical text/reference is accessible to advanced students or those with a degree that includes basic linear algebra & calculus courses.

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