Chapter 1: The Fundamental Basis of HDR: Comparametric Equations
1.1 Introduction to High Dynamic Range Imaging
1.2 Historical Motivation for HDR Imaging
1.4 Comparametric Image Processing: Comparing Differently Exposed Images of the Same Subject Matter
1.6 Tone Mapping in HDR Systems
1.7 Analytical Solution of Comparametric Equations
1.8 Compositing as Bayesian Joint Estimation
1.9 Efficient Implementation of HDR Reconstruction via CCRF Compression
Part I: Content Acquisition and Production
Chapter 2: Unified Reconstruction of Raw HDR Video Data
2.2 Optical Design for HDR Video Capture
Chapter 3: Stack-Based Algorithms for HDR Capture and Reconstruction
3.4 Handling Artifacts From Motion During HDR Reconstruction
Chapter 4: Multiview HDR Video Sequence Generation
4.2 HDR and Stereo HDR Video Acquisition
Chapter 5: HDR, Cinematography, and Stereoscopy
5.2 Experiments With the HDR Technique
5.4 HDR: Enhanced Artistic Palette Available for Directors of Photography and Directors
6.3 Temporal Artifacts Caused by Video TMOs
Chapter 7: Evaluation of Tone Mapping Operators for HDR Video
7.2 Subjective Quality Assessment Method
7.3 Survey of TMO Evaluation Studies
7.4 Evaluation Studies for Video TMOs
7.5 Video TMO Evaluation Study I
7.6 Video TMO Evaluation Study II
Chapter 8: Using Simulated Visual Illusions and Perceptual Anomalies to Convey Dynamic Range
8.2 Three-Dimensional Unsharp Masking
Chapter 9: Color Management in HDR Imaging
9.3 Color Spaces for HDR and Color Workflows
9.5 Recovery of Clipped and Overexposed Regions
9.6 Color Appearance Modeling for HDR
Part III: Representation and Coding
Chapter 10: High Dynamic Range Video Compression
10.2 HDR Image Storage Formats and Compression
Chapter 11: High Dynamic Range and Wide Color Gamut Video Standardization — Status and Perspectives
11.2 HDR and WCG Video Workflows and Related Standardization Activities
11.3 HDR and WCG in Already Existing Standards
11.4 Other Technical Solutions
Chapter 12: High Dynamic Range Imaging with JPEG XT
Chapter 13: HDR Display Characterization and Modeling
13.2 HDR Image Display With LED Backlight
13.3 Optimizing Local Dimming of LED Backlight for Image Display
13.4 LED-Backlit 3D Video Displays
13.5 Modeling and Evaluation of Display Quality
Chapter 14: Dual Modulation for LED-Backlit HDR Displays
14.2 Dual Modulation for Backlight Dimming
14.3 Proposed Method for Dual Modulation
14.4 Assessing the Performance of a Dual Modulation Algorithm
14.5 Some Practical Lessons for HDR Content Rendering
14.6 Concluding Remarks and Perspectives
Part V: Perception and Quality of Experience
Chapter 15: Perceptual Design for High Dynamic Range Systems
15.2 Luminance and Contrast Perception of the HVS
15.3 Quantization and Tone Curve Reproduction
15.4 Perception of Reflectances, Diffuse White, and Highlights
15.5 Adding Color — Color Gamuts and Color Volumes
Chapter 16: Quality of Experience and HDR: Concepts and How to Measure It
16.3 Measuring HDR QoE: A Few Considerations
16.4 Impact of Tone Mapping Operators on QoE Dimensions
16.5 Case Study: Quality Assessment of Dynamic Range Expansion of Video Sequences
16.6 Concluding Remarks and Perspectives
Chapter 17: HDR Image and Video Quality Prediction
17.2 Approaches for Assessing HDR Fidelity
17.4 Adapted LDR Metrics for Measuring HDR Image Quality in the Context of Compression
17.5 Tone Mapping and Dynamic Range-Independent Metrics
Chapter 18: HDR Imaging in Automotive Applications
18.1 History and Motivation for High Dynamic Range Sensors and Cameras
18.2 Requirements for Automotive Camera Sensors
18.4 HDR Video-Based Driver Assistance Applications
Chapter 19: An Application of HDR in Medical Imaging
19.2 Requirements of HDR Visualization in the Medical Field
19.3 Evaluation of Medical HDR Displays
Chapter 20: High Dynamic Range Digital Imaging of Spacecraft
20.4 HDR Imaging of Spacecraft Field Experiments
20.5 Calibrated Measurement of Imager Dynamic Range
20.6 HDR Workflow and Display Device Luminance
Chapter 21: The Dynamic Range of Driving Simulation
21.2 No Need for HDR Video in Driving Simulations?
21.3 Visual Factors Which Impact Driving Behavior
21.5 Photometric Control of CG Images in Driving Simulations
Chapter 22: HDR Image Watermarking
22.1 A Brief Introduction to Digital Watermarking