Advanced High Dynamic Range Imaging, Second Edition

This book explores the methods needed for creating and manipulating HDR content. HDR is a step change from traditional imaging; more closely matching what we see with our eyes. In the years since the first edition of this book appeared, HDR has become much more widespread, moving from a research concept to a standard imaging method. This new edition incorporates all the many developments in HDR since the first edition and once again emphasizes practical tips, including the authors' popular HDR Toolbox (available on the authors' website) for MATLAB and gives readers the tools they need to develop and experiment with new techniques for creating compelling HDR content. Cover 1 Half Title 2 Title 4 Copyright 5 Dedication 6 Contents 8 Foreword 12 Preface 14 Chapter 1 Introduction 22 1.1 Light, Human Vision, and Color Spaces 26 Chapter 2 HDR Pipeline 34 2.1 Acquisition of HDR Content 35 2.2 HDR Content Storing 55 2.3 Native Visualization 59 Chapter 3 Tone Mapping 66 3.1 TMO MATLABR Framework 69 3.2 Global Operators 70 3.3 Local Operators 87 3.4 Frequency-Based/Gradient Domain Operators 94 3.5 Segmentation Operators 102 3.6 Summary 114 Chapter 4 New Trends in Tone Mapping 116 4.1 A General Approach to Tone Mapping 116 4.2 Color Management in Tone Mapping 123 4.3 Summary 134 Chapter 5 HDR Video Tone Mapping 136 5.1 Temporal Artifacts 137 5.2 HDR Videos MATLAB Framework 138 5.3 Global Temporal Methods 141 5.4 Temporal Local Methods 148 5.5 Real-Time HDR Video Tone Mapping 153 5.6 Summary 154 Chapter 6 Expansion Operators for Low Dynamic Range Content 156 6.1 EO MATLAB Framework 158 6.2 Linearization of the Signal Using a Single Image 160 6.3 Decontouring Models for High Contrast Displays 164 6.4 Global Models 166 6.5 Classification Models 172 6.6 Expand Map Models 176 6.7 User-Based Models: HDR Hallucination 183 6.8 Summary 184 Chapter 7 Image-Based Lighting 188 7.1 Environment Maps 188 7.2 Rendering with IBL 193 7.3 Summary 216 Chapter 8 HDR Images Compression 218 8.1 HDR Compression MATLAB Framework 218 8.2 HDR Image Compression 219 8.3 HDR Texture Compression 226 8.4 Summary 240 Chapter 9 HDR Video Compression 242 9.1 Perception-Motivated High Dynamic Range Video Encoding 243 9.2 Backward Compatible HDR-MPEG 245 9.3 Rate-Distortion Optimized Compression 247 9.4 Temporally Coherent Luminance-to-Luma Mapping 249 9.5 Optimizing a Tone Mapping Curve for Encoding 251 9.6 Perceptual Quantizer 255 9.7 Hybrid Log Gamma 256 9.8 Others Methods 257 9.9 Summary 260 Chapter 10 Evaluation 262 10.1 Metrics 262 10.2 Experimental Evaluation Overview 273 10.3 Experimental Evaluation of Tone Mapping 274 10.4 Experimental Evaluation of Expansion Operators 279 10.5 HDR Compression Evaluation 280 10.6 Summary 282 A The Bilateral Filter 284 B Practical Color Spaces 288 C A Brief Overview of the MATLAB HDR Toolbox 292 Bibliography 298 Index 332 Second,Edition Second Edition This book explores the methods needed for creating and manipulating HDR content. HDR is a step change from traditional imaging; more closely matching what we see with our eyes. In the years since the first edition of this book appeared, HDR has become much more widespread, moving from a research concept to a standard imaging method. This new edition incorporates all the many developments in HDR since the first edition and once again emphasizes practical tips, including the authors'popular HDR Toolbox (available on the authors'website) for MATLAB and gives readers the tools they need to develop and experiment with new techniques for creating compelling HDR content. Key Features: Contains the HDR Toolbox for readers'experimentation on authors'website Offers an up-to-date, detailed guide to the theory and practice of high dynamic range imaging Covers all aspects of the field, from capture to display Provides benchmarks for evaluating HDR imagery