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Computer Science - Image Processing | Image Processing for Computer Graphics and Vision

Image Processing for Computer Graphics and Vision

Velho, Luiz, Frery, Alejandro C., Gomes, Jonas

Translated by Levy, S.

Originally published as a monograph

2nd ed. 2009, XV, 463 p. With 12 page colour insert.

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  • Provides a modern introduction to both the underlying mathematics and the main concepts and techniques of the subject
  • Covers important modern techniques such as morphing and warping images as well as dithering, compositing, and other operations on images
  • Significantly expanded and revised, this second edition includes five new chapters and major changes throughout

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 and vision, this fully revised second edition concentrates on describing and analyzing the underlying concepts of this subject.

As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics of signal processing, data discretization, the theory of color and different color systems, operations in images, dithering and half-toning, warping and morphing, and image processing. Significantly expanded and revised, this easy-to-follow text/reference reflects recent trends in science and technology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered, as is probability theory for image processing, and a focus on applications in image analysis and computer vision.

Features:

• Includes 5 new chapters and major changes throughout

• Adopts a conceptual approach with emphasis on the mathematical concepts and their applications

•Introduces an abstraction paradigm that relates mathematical models with image processing techniques and implementation methods - used throughout to help understanding of the mathematical theory and its practical use

• Motivates through an elementary presentation, opting for an intuitive description where needed

• Contains adopted innovative formulations whenever necessary for clarity of exposition

• Provides numerous examples and illustrations, as an aid to understanding

• Focuses on the aspects of image processing that have importance in computer graphics and vision applications

• Offers a comprehensive introductory chapter for instructors

This comprehensive text imparts a good conceptual understanding of the topic, as a basis for further study, and is suitable both as a textbook and a professional reference. The current extended edition is a must-have resource and guide for all studying or interested in this field.

Content Level » Professional/practitioner

Keywords » Color - Computer graphic - Computer vision - Image compression - Image processing - Morphing - Signal theory - computer graphics - image analysis - signal processing

Related subjects » Computational Science & Engineering - Image Processing

Table of contents 

Signal Theory.- Random Processes.- Fundamentals of Color.- Color Systems.- Digital Images.- Operations on Images.- Sampling and Reconstruction.- Multiscale Analysis and Wavelets.- Probabilistic Image Models.- Color Quantization.- Digital Halftoning.- Image Compression.- Combining Images.- Warping and Morphing.- Image Systems.

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