학술논문

Image processing for computer graphics and vision.
Document Type
Book Review
Author
Velho, Luiz (BR-IMPA) AMS Author Profile; Frery, Alejandro C. (BR-IMPA) AMS Author Profile; Gomes, Jonas AMS Author Profile
Source
Subject
60 Probability theory and stochastic processes -- 60G Stochastic processes
  60G35 Signal detection and filtering

65 Numerical analysis -- 65D Numerical approximation and computational geometry
  65D18 Computer graphics, image analysis, and computational geometry

68 Computer science
  68-00 General reference works

68 Computer science -- 68T Artificial intelligence
  68T45 Machine vision and scene understanding

94 Information and communication, circuits -- 94A Communication, information
  94A08 Image processing
Language
English
Abstract
The book is devoted to image processing techniques with an emphasis on the aspects most used in computer graphics and vision. In the book a conceptual approach is adopted presenting the mathematical concepts and their applications. The book is based on an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods. Such an approach helps a reader to understand a mathematical theory and its practical use. The second edition of the book is extended by five chapters including stochastic image models, as well as applications in computer vision. \par The book reflects the recent trends in science and technology that exploit image processing in computer graphics and vision applications. In sixteen easy-to-follow chapters the following topics are presented: signal processing, data discretization, the theory of color and different color systems, operations on images, multiscale image analysis, image compression, random processes and probabilistic image models, dithering and half-toning, warping and morphing. \par The book is presented in an accessible fashion, with many illustrations and examples. The emphasis is on describing and analyzing underlying concepts rather than on presenting algorithms or discussing optimization questions. It is suitable both as a textbook and as a professional reference for students, researchers and engineers. It is a great starting point for those who want to use computer graphics and vision in research or are interested in the field.

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