Image Processing for Computer Graphics and Vision -

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Résumé :
Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing.This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision.

Biographie:
Tiago Novello is a Postdoctoral Researcher at IMPA Vision and Graphics (VISGRAF) Laboratory. He obtained a D.Sc. in Applied Mathematics at Pontif?cia Universidade Cat?lica do Rio de Janeiro, an M.Sc. in Mathematics from the Universidade Federal de Alagoas, and a B.Sc. in Mathematics at Universidade Estadual do Paran?. Vin?cius da Silva is a Postdoctoral Researcher at PUC-Rio. He obtained his D.Sc. and M.Sc in Computer Science from the Federal University of Rio de Janeiro. His research interests are Real-Time Computer Graphics, Virtual Reality, Games, and Machine Learning, with a current focus on Real-Time Ray Tracing. Luiz Velho is a Senior Researcher/Professor at IMPA and the leading scientist of the VISGRAF Laboratory. He received a B.E. in Industrial Design from ESDI, an M.S. in Computer Graphics from the MIT/Media Lab, and a Ph.D. in Computer Science from the University of Toronto. His experience spans the fields of modeling, rendering, imaging, and animation....

Sommaire:
Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing. This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision....

From the reviews of the second edition: The mathematical aspects of image processing are emphasized in this book ... . I found useful information in all of the chapters, for reasons of personal bias, I found some chapters more interesting than others-- especially 'Color Quantization,' 'Digital Halftoning' (dithering), 'Combining Images,' and 'Warping and Morphing.' Chapters can be read independently, and each includes a bibliography. The presentation is well structured and clear. (O. Lecarme, ACM Computing Reviews, June, 2009) The book is devoted to image processing techniques with an emphasis on the aspects most used in computer graphics and vision. ... The book is presented in an accessible fashion, with many illustrations and examples. ... 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. (Agnieszka Lisowska, Mathematical Reviews, Issue 2011 j)