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Fundamentals of digital image processing. (English) Zbl 0744.68134
Prentice Hall Information and System Sciences Series. Englewood Cliffs, NJ: Prentice-Hall. XXI, 569 p. (1989).
The book is written by a leading expert in different domains of image processing. After a short introductory chapter and a chapter on mathematical preliminaries it contains essentially two parts:
A first part on image representation, consisting of image perception, image sampling and quantization, image transforms, and image representation by stochastic models (chapters 3, 4, 5 and 6).
The second part treats the following typical image processing problems: enhancement, filtering and restoration, image analysis and computer vision, reconstruction from projections, and data compression (chapters 7, 8, 9, 10, 11).
From this short description of the contents it will be clear that the author has concentrated on mature topics of image processing, as he states in the introduction; this may also explain why a topic like “moving” has not been investigated.
Also according to the author the book is intended to serve as a text for second and third quarter graduate students in electrical engineering and computer science. It is not explained what mathematical background those students should have, but according to the amount of mathematical methods which are used (and only mentioned but not explained) in the book this background should be considerable. For instance, it is not at all clear that things like the pseudo-inverse of a matrix or the conjugate gradient method really are mastered by the named students, but those mathematical notions and methods are used in the chapter on image restoration. The author is very often obliged to say that “it can be shown”, or to refer to the references, or to the problems (each chapter ends with a list of problems and with a rather extended bibliography about the different sections of that chapter). This of course enables the author to treat a lot of methods about the typical image processing problem under consideration, but in a very concise form.
An instructors manual containing solutions to selected problems (among others) has not been inspected.
Conclusion: a book containing a lot of information on different aspects of image processing, that may be fruitful for a reader having already a substantial background in that topic.
Reviewer: G.Crombez (Gent)

MSC:
68U10 Computing methodologies for image processing
68-02 Research exposition (monographs, survey articles) pertaining to computer science
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