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Graphics Programming, Waves & Wave Mechanics, Mathematics - Applied, Computer Graphics - General & Miscellaneous
Wavelets for Computer Graphics: Theory and Applications by Eric J. Stollnitz β€” book cover

Wavelets for Computer Graphics: Theory and Applications

by Eric J. Stollnitz, David H. Salesin, Anthony D. DeRose
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Overview

This distinctly accessible introduction to wavelets provides computer graphics professionals and researchers with the mathematical foundations for understanding and applying this powerful tool.

Wavelets are rapidly becoming a core technique in computer graphics, with applications for

β€’ Image editing and compression
β€’ Automatic level-of-detail control for editing and rendering curves and surfaces
β€’ Surface reconstruction from contours
β€’ Physical simulation for global illumination and animation

Stressing intuition and clarity, this book offers a solid understanding of the theory of wavelets and their proven applications in computer graphics.

Although previous introductions to wavelets have presented an elegant mathematical framework, that framework is too restrictive to apply to many problems in graphics. In contrast, this book focuses on a generalized theory that naturally accommodates the kinds of objects that commonly arise in computer graphics, including images, open curves, and surfaces of arbitrary topology.

This book also contains a foreword by Ingrid Daubechies and an appendix covering the necessary background material in linear algebra.

Synopsis

This distinctly accessible introduction to wavelets provides computer graphics professionals and researchers with the mathematical foundations for understanding and applying this powerful tool.

Wavelets are rapidly becoming a core technique in computer graphics, with applications for

  • Image editing and compression

  • Automatic level-of-detail control for editing and rendering curves and surfaces

  • Surface reconstruction from contours

  • Physical simulation for global illumination and animation

Stressing intuition and clarity, this book offers a solid understanding of the theory of wavelets and their proven applications in computer graphics.

Although previous introductions to wavelets have presented an elegant mathematical framework, that framework is too restrictive to apply to many problems in graphics. In contrast, this book focuses on a generalized theory that naturally accommodates the kinds of objects that commonly arise in computer graphics, including images, open curves, and surfaces of arbitrary topology.

This book also contains a foreword by Ingrid Daubechies and an appendix covering the necessary background material in linear algebra.

Booknews

This introduction provides computer graphics professionals and researchers with the mathematical foundations for understanding and applying wavelets. Some applications include: image editing and compression, automatic level-of-detail control of curves and surfaces, surface reconstruction form contours, and physical simulation for global illumination and animation. The generalized theory in this text stresses intuition over rigor, and accommodates the kinds of objects that commonly arise in computer graphics, including images, open curves, and surfaces of arbitrary topology. Readers must have at least a vague sense of linear algebra; most of the necessary background algebra information is in the appendix. Annotation c. by Book News, Inc., Portland, Or.

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Editorials

Booknews

This introduction provides computer graphics professionals and researchers with the mathematical foundations for understanding and applying wavelets. Some applications include: image editing and compression, automatic level-of-detail control of curves and surfaces, surface reconstruction form contours, and physical simulation for global illumination and animation. The generalized theory in this text stresses intuition over rigor, and accommodates the kinds of objects that commonly arise in computer graphics, including images, open curves, and surfaces of arbitrary topology. Readers must have at least a vague sense of linear algebra; most of the necessary background algebra information is in the appendix. Annotation c. by Book News, Inc., Portland, Or.

Book Details

Published
August 1, 1996
Publisher
Elsevier Science
Pages
245
Format
Hardcover
ISBN
9781558603752

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