1 Introduction
2 Light and Color
2.1 Radiometry
2.2 Photometry
2.3 Colorimetry
2.4 Color Spaces
2.5 White Point and Illuminants
2.6 Spectral Sharpening
2.7 Color Opponent Spaces
2.8 Color Correction
2.9 Color Appearance
2.10 Display Gamma
2.11 Brightness Encoding
2.12 Standard RGB Color Spaces
3 High Dynamic Range Image Encodings
3.1 LDR vs. HDR Encodings
3.2 Applications of HDR Images
3.3 HDR Image Formats
3.4 HDR Encoding Comparison
3.5 Conclusions
4 HDR Video Encodings
4.1 Custom HDR Video Coding
4.2 Backward Compatible HDR Video Compression
5 HDR Image Capture
5.1 Photography & Light Measurement
5.2 HDR Image Capture from Multiple Exposures
5.3 Film Scanning
5.4 Image Registration/Alignment
5.5 The Median Threshold Bitmap Alignment Technique
5.6 Other Alignment Methods
5.7 Deriving the Camera Response Function
5.8 Noise Removal
5.9 Ghost Removal
5.10 Lens Flare Removal
5.11 HDR Capture Hardware
5.12 Conclusion
6 Display Devices and Printing Technologies
6.1 Display Technologies
6.2 Local Dimming HDR Displays
6.3 Printing
6.4 Conclusions
7 Perception-Based Tone Reproduction
7.1 Tone Mapping Problem
7.2 Human Visual Adaptation
7.3 Visual Adaptation Models for HDR Tone Mapping
7.4 Background Intensity in Complex Images
7.5 Dynamics of Visual Adaptation
7.6 Design Considerations
8 Tone Reproduction Operators
8.1 Sigmoidal Tone Reproduction Operators
8.2 Image AppearanceModels
8.3 Other HVS-Based Models
8.4 Apparent Contrast and Brightness Enhancement
8.5 Other Tone Reproduction Operators
8.6 Exposure Fusion
8.7 Summary
9 Inverse Tone Reproduction
9.1 Expansion Functions
9.2 Under- and Over-Exposed Material
9.3 Suppressing Quantization and Encoding Artifacts
9.4 A Preference Studies
9.5 Suggested Applications
9.6 Summary
10 Visible Difference Predictors
10.1 Subjective versus Objective Quality Metrics
10.2 Classification of Objective Quality Metrics
10.3 Full-reference Quality Metrics
10.4 Pixel-based Metrics
10.5 Structural SIMilarity (SSIM) Index
10.6 Perception-based Fidelity Metrics
10.7 The HDR Visible Differences Predictor
10.8 Dynamic Range Independent (DRI) Image Quality Metric
10.9 Supra-Threshold HDR Image Quality Metrics
10.10Accounting for Partial Adaptation
10.11Summary
11 Image-Based Lighting
11.1 Introduction
11.2 How the Renderer Computes IBL Images
11.3 Capturing and Representing Light Probe Images
11.4 Omnidirectional Image Mappings
11.5 Capturing very bright sources such as the sun
11.6 The Sampling Problem
11.7 Advanced Image-Based Lighting Techniques
11.8 Useful IBL Approximations
11.9 Image-Based Lighting Real Objects and People
11.10Real-time Image-Based Lighting
11.11Conclusion
A List of Symbols
