Basic models of image formation -- Some analysis: When can 3-D shape be reconstructed from blurred images? -- Least-squares shape from defocus -- Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence -- Defocus via diffusion: Modeling and reconstruction -- Dealing with motion: Unifying defocus and motion blur -- Dealing with multiple moving objects -- Dealing with occlusions -- Final remarks
Summary
Presents a coherent framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield ""restored"" images. This book provides a collection of algorithms that are optimal with respect to the chosen model & estimation criterion
Bibliography
Includes bibliographical references (pages 239-246) and index
