The High Dynamic Range Imaging Pipeline : : Tone-Mapping, Distribution, and Single-exposure Reconstruction.

• Superior document: Linköping Studies in Science and Technology. Dissertations Series ; v.1939
• Author: Eilertsen, Gabriel.
• Place / Publishing House: Linköping : : Linkopings Universitet,, 2018.; {copy}2018.
• Year of Publication: 2018
• Edition: 1st ed.
• Language: English
• Series: Linköping Studies in Science and Technology. Dissertations Series
• Physical Description: 1 online resource (154 pages)

Table of Contents

• Intro
• Abstract
• Populärvetenskaplig sammanfattning
• Acknowledgments
• Publications
• Contributions
• Contents
• 1 Introduction
• 1.1 High dynamic range
• 1.1.1 Definition
• 1.1.2 The dynamic range of the HVS
• 1.1.3 Camera and display dynamic range
• 1.1.4 Calibration
• 1.1.5 Applications
• 1.2 Context
• 1.3 Author's contributions
• 1.4 Disposition
• 2 Background
• 2.1 Capturing with HDR cameras
• 2.1.1 Single-exposure HDR cameras
• 2.1.2 Multi-exposure HDR camera systems
• 2.2 HDR reconstruction from conventional sensors
• 2.2.1 Temporally multiplexed exposures
• 2.2.2 Spatially multiplexed exposures
• 2.2.3 Single-exposure techniques
• 2.3 HDR distribution
• 2.3.1 Floating point HDR pixel formats
• 2.3.2 HDR encoding using LDR formats
• 2.4 Tone-mapping
• 2.4.1 Categorization
• 2.4.2 Tone-mapping pipeline
• 2.4.4 Evaluation
• 2.5 HDR displays
• 2.5.1 Professional HDR display devices
• 2.5.2 HDR TVs
• 3 Tone-mapping of HDR video
• 3.1 Motivation
• 3.2 Evaluation of TMOs
• 3.2.1 Parameter calibration
• 3.2.2 Qualitative evaluation experiment
• 3.2.3 Pair-wise comparison experiment
• 3.3 New algorithms
• 3.3.1 Filtering for tone-mapping
• 3.3.2 Tone-curve
• 3.3.3 Noise-awareness
• 3.4 Recent developments
• 3.5 Summary
• 4 Distribution of HDR video
• 4.1 Motivation
• 4.2 Evaluation
• 4.2.1 Setup
• 4.2.2 Results
• 4.2.3 Comparison to HDR10
• 4.4 Summary
• 4.4.1 Limitations and future work
• 5 Single-exposure HDR image reconstruction
• 5.1 Motivation
• 5.1.1 Relation to inverse tone-mapping
• 5.1.2 Where is the dynamic range?
• 5.2 Deep learning for HDR imaging
• 5.3 Deep learning reconstruction
• 5.3.1 CNN design
• 5.3.2 Training
• 5.3.3 Weight initialization
• 5.3.4 Results
• 5.3.5 Compression artifacts
• 5.3.6 Adversarial training
• 5.4 Summary.
• 5.4.1 Limitations and future work
• 6 Conclusions
• 6.1 Contributions
• 6.1.1 Tone-mapping
• 6.1.2 Distribution
• 6.1.3 Reconstruction
• 6.2 Outlook
• Bibliography
• Publications.