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Image restoration and reconstruction
COMPUTER
VISION,
GRAPHICS,
AND
BOOKS
IMAGE
PROCESSING
RECEIVED
4,
127-128
(1987)
FOR REVIEW
Image Restoration and Reconstruction, R. H. T. Bates and M. J. McDonnell, Oxford University Press (Clarendon), London/New York, 1986, xi + 288 pp., $65.00. A readable book that provides a good introduction to its subject matter. After two preliminary chapters (“Setting the scene” and “Fourier theory”), the main chapters deal with Deconvolution, Phase recovery, Reconstruction from projections, and Speckle imaging and interferometry. A nice feature is the inclusion of three chapters, Image processing system design, Program categories (types of operations on images, etc.), and Technical practicalities (PSF determination, etc.).
Image Understandii 1985436. Whitman Richards and Shimon Ullman (Eds.). Ablex, Norwood, NJ, 1987, xvii + 356 pages, $39.50. This book contains a collection of papers reflecting the classical image understanding paradigm advocated by Marr and others at MIT. The chapters and their authors are: A Reflectance Model for Computer Graphics, Robert L. Cook and Kenneth E. Torrance; Spectral Categorization of Materials, John M. Rubin and W. A. Richards; Detection of Surface Orientation and Motion From Texture by a Stereological Technique, Ken-i&i Kanatani; Contour Evolution, Neighborhood Deformation and Image Flow: Textured Surfaces in Motion, Allen M. Waxman and Kwangyoen Wohn; Computations Underlying the Measurement of Visual Motion, Ellen C. Hildreth; Scaling Theorems for Zero Crossings, A. L. Yuille and T. Poggio; Theory of Slope-Invariant Imaging Systems, R. W. Klopfenstein and C. R. Carlson: Shape Decompositions for Visual Recognition: The Role of Transversality, B. M. Bennett and D. D. Hoffman; An Internal Representation for Solid Shape Based on the Topological Properties of the Apparent Contour, Jan J. Koenderink; and Visual Routines, Shimon Ullman.
Vision, Brain, and Cooperative Computation. M. A. Arbib and A. R. Hanson (Eds.). MIT Press, Cambridge, MA, 1987, xi + 730 pp. $65.00. This is a different kind of vision book; it is not only about computer vision, but about human and machine vision and cognition. The book is partitioned into four major sections: Visual Neurophysiology, Visual Psychophysics, Machine Vision and Robotics, and Connectionism and Cooperative Computation. The chapters and their authors are: why Visuomotor Systems Don’t Like Negative Feedback and How They Avoid It, D. A. Robinson; The Role of the Primate Superior Colliculus in Sensorimotor Integration, David L. Sparks and Martha Jay; Depth and Detours: An 127 0734-189X/87
$3.00
Copyright c 19X7 by Academic Press, Inc All rights of reproduction m any form rescwed.
VISION,
GRAPHICS,
AND
BOOKS
IMAGE
PROCESSING
RECEIVED
4,
127-128
(1987)
FOR REVIEW
Image Restoration and Reconstruction, R. H. T. Bates and M. J. McDonnell, Oxford University Press (Clarendon), London/New York, 1986, xi + 288 pp., $65.00. A readable book that provides a good introduction to its subject matter. After two preliminary chapters (“Setting the scene” and “Fourier theory”), the main chapters deal with Deconvolution, Phase recovery, Reconstruction from projections, and Speckle imaging and interferometry. A nice feature is the inclusion of three chapters, Image processing system design, Program categories (types of operations on images, etc.), and Technical practicalities (PSF determination, etc.).
Image Understandii 1985436. Whitman Richards and Shimon Ullman (Eds.). Ablex, Norwood, NJ, 1987, xvii + 356 pages, $39.50. This book contains a collection of papers reflecting the classical image understanding paradigm advocated by Marr and others at MIT. The chapters and their authors are: A Reflectance Model for Computer Graphics, Robert L. Cook and Kenneth E. Torrance; Spectral Categorization of Materials, John M. Rubin and W. A. Richards; Detection of Surface Orientation and Motion From Texture by a Stereological Technique, Ken-i&i Kanatani; Contour Evolution, Neighborhood Deformation and Image Flow: Textured Surfaces in Motion, Allen M. Waxman and Kwangyoen Wohn; Computations Underlying the Measurement of Visual Motion, Ellen C. Hildreth; Scaling Theorems for Zero Crossings, A. L. Yuille and T. Poggio; Theory of Slope-Invariant Imaging Systems, R. W. Klopfenstein and C. R. Carlson: Shape Decompositions for Visual Recognition: The Role of Transversality, B. M. Bennett and D. D. Hoffman; An Internal Representation for Solid Shape Based on the Topological Properties of the Apparent Contour, Jan J. Koenderink; and Visual Routines, Shimon Ullman.
Vision, Brain, and Cooperative Computation. M. A. Arbib and A. R. Hanson (Eds.). MIT Press, Cambridge, MA, 1987, xi + 730 pp. $65.00. This is a different kind of vision book; it is not only about computer vision, but about human and machine vision and cognition. The book is partitioned into four major sections: Visual Neurophysiology, Visual Psychophysics, Machine Vision and Robotics, and Connectionism and Cooperative Computation. The chapters and their authors are: why Visuomotor Systems Don’t Like Negative Feedback and How They Avoid It, D. A. Robinson; The Role of the Primate Superior Colliculus in Sensorimotor Integration, David L. Sparks and Martha Jay; Depth and Detours: An 127 0734-189X/87
$3.00
Copyright c 19X7 by Academic Press, Inc All rights of reproduction m any form rescwed.