Principles of Digital Image Synthesis
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Main description:Image synthesis, or rendering, is a field of transformation: it changesgeometry and physics into meaningful images. Because the most popularalgorithms frequently change, it is increasingly important for researchersand implementors to have a basic understanding of the principles of imagesynthesis. Focusing on theory, Andrew Glassner provides a comprehensiveexplanation of the three core fields of study that come together to formdigital image synthesis: the human visual system, digital signalprocessing, and the interaction of matter and light. Assuming no more thana basic backgro...
Main description:
Image synthesis, or rendering, is a field of transformation: it changes
geometry and physics into meaningful images. Because the most popular
algorithms frequently change, it is increasingly important for researchers
and implementors to have a basic understanding of the principles of image
synthesis. Focusing on theory, Andrew Glassner provides a comprehensive
explanation of the three core fields of study that come together to form
digital image synthesis: the human visual system, digital signal
processing, and the interaction of matter and light. Assuming no more than
a basic background in calculus, Glassner transforms his passion and
expertise into a thorough presentation of each of these disciplines, and
their elegant orchestration into modern rendering techniques such as
radiosity and ray tracing.
Table of contents:
1 The Human Visual System
2 Color Spaces
3 Displays
4 Signals and Systems
5 Fourier Transforms
6 Wavelet Transforms
7 Monte Carlo Integration
8 Uniform Sampling and Reconstruction
9 Nonuniform Sampling and Reconstruction
10 Sampling and Reconstruction Techniques
11 Light
12 Energy Transport
13 Radiometry
14 Materials
15 Shading
16 Integral Equations
17 The Radiance Equation
18 Radiosity
19 Ray Tracing
20 Rendering and Images
21 The Future
A Linear Algebra
B Probability
C Historical Notes
D Analytic Form Factors
E Constants and Units
F Luminaire Standards
G Reference Data
Image synthesis, or rendering, is a field of transformation: it changes
geometry and physics into meaningful images. Because the most popular
algorithms frequently change, it is increasingly important for researchers
and implementors to have a basic understanding of the principles of image
synthesis. Focusing on theory, Andrew Glassner provides a comprehensive
explanation of the three core fields of study that come together to form
digital image synthesis: the human visual system, digital signal
processing, and the interaction of matter and light. Assuming no more than
a basic background in calculus, Glassner transforms his passion and
expertise into a thorough presentation of each of these disciplines, and
their elegant orchestration into modern rendering techniques such as
radiosity and ray tracing.
Table of contents:
1 The Human Visual System
2 Color Spaces
3 Displays
4 Signals and Systems
5 Fourier Transforms
6 Wavelet Transforms
7 Monte Carlo Integration
8 Uniform Sampling and Reconstruction
9 Nonuniform Sampling and Reconstruction
10 Sampling and Reconstruction Techniques
11 Light
12 Energy Transport
13 Radiometry
14 Materials
15 Shading
16 Integral Equations
17 The Radiance Equation
18 Radiosity
19 Ray Tracing
20 Rendering and Images
21 The Future
A Linear Algebra
B Probability
C Historical Notes
D Analytic Form Factors
E Constants and Units
F Luminaire Standards
G Reference Data