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Full Description
Imaging techniques seek to simulate the array of light that reaches our eyes to provide the illusion of sensing scenes directly. Both photography and computer graphics deal with the generation of images. Both disciplines have to cope with the high dynamic range in the energy of visible light that human eyes can sense.
Traditionally photography and computer graphics took different approaches to the high dynamic range problem. Work over the last ten years though has unified these disciplines and created powerful new tools for the creation of complex, compelling and realistic images. This book provides a practical introduction to the emerging new discipline of high dynamic range imaging that combines photography and computer graphics. By providing detailed equations and code, the book gives the reader the tools needed to experiment with new techniques for creating compelling images.
A supplemental website contains downloads and additional information.
Contents
Introduction
Light, Human Vision, and Color Spaces
HDR Pipeline
HDR Content Generation
HDR Content Storing
Visualization of HDR Content
Tone Mapping
TMO MATLAB Framework
Global Operators
Local Operators
Frequency-Based Operators
Segmentation Operators
New Trends to the Tone Mapping Problem
Summary
Expansion Operators for Low Dynamic Range Content
Linearization of the Signal Using a Single Image
Decontouring Models for High Contrast Displays
EO MATLAB Framework
Global Models
Classification Models
Expand Map Models
User-Based Models: HDR Hallucination
Summary
Image-Based Lighting
Environment Map
Rendering with IBL
Summary
Evaluation
Psychophysical Experiments
Error Metric
Summary
HDR Content Compression
HDR Compression MATLAB Framework
HDR Image Compression
HDR Texture Compression
HDR Video Compression
Summary
Appendix A: The Bilateral Filter
Appendix B: Retinex Filters
Appendix C: A Brief Overview of the MATLAB HDR Toolbox
Bibliography
Index
