Advanced High Dynamic Range Imaging

Francesco Banterle, Alessandro Artusi, Kurt Debattista, Alan Chalmers

• Publisher: A K Peters/CRC Press
• Year: 2017
• eBook ISBN: 9781351645836
• Topic: Computer Science
• Subtopic: Computer Graphics
• Index: Computer Science

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

Contents

Foreword

Preface

1 Introduction

1.1 Light, Human Vision, and Color Spaces

2 HDR Pipeline

2.1 Acquisition of HDR Content

2.2 HDR Content Storing

2.3 Native Visualization

3 Tone Mapping

3.1 TMO Matlabr^® Framework

3.2 Global Operators

3.3 Local Operators

3.4 Frequency-Based/Gradient Domain Operators

3.5 Segmentation Operators

3.6 Summary

4 New Trends in Tone Mapping

4.1 A general Approach to Tone Mapping

4.2 Color Management in Tone Mapping

4.3 Summary

5 HDR Video Tone Mapping

5.1 Temporal Artifacts

5.2 HDR Videos MATLAB Framework

5.3 Global Temporal Methods

5.4 Temporal Local Methods

5.5 Real-Time HDR Video Tone Mapping

5.6 Summary

6 Expansion Operators for Low Dynamic Range Content

6.1 EO MATLAB Framework

6.2 Linearization of the Signal Using a Single Image

6.3 Decontouring Models for High Contrast Displays

6.4 Global Models

6.5 Classification Models

6.6 Expand Map Models

6.7 User-Based Models: HDR Hallucination

6.8 Summary

7 Image-Based Lighting

7.1 Environment Maps

7.2 Rendering with IBL

7.3 Summary

8 HDR Images Compression

8.1 HDR Compression MATLAB Framework

8.2 HDR Image Compression

8.3 HDR Texture Compression

8.4 Summary

9 HDR Video Compression

9.1 Perception-Motivated High Dynamic Range Video Encoding

9.2 Backward Compatible HDR-MPEG

9.3 Rate-Distortion Optimized Compression

9.4 Temporally Coherent Luminance-to-Luma Mapping

9.5 Optimizing a Tone Mapping Curve for Encoding

9.6 Perceptual Quantizer

9.7 Hybrid Log Gamma

9.8 Others Methods

9.9 Summary

10 Evaluation

10.1 Metrics

10.2 Experimental Evaluation Overview

10.3 Experimental Evaluation of Tone Mapping

10.4 Experimental Evaluation of Expansion Operators

10.5 HDR Compression Evaluation

10.6 Summary

A The Bilateral Filter

B Practical Color Spaces

C A Brief Overview of the MATLAB HDR Toolbox

Bibliography

Index

Foreword

High dynamic range (HDR) imaging has become an essential topic across all of the imaging disciplines – including photography, computer graphics, image processing, and computer vision. HDR is used in diverse applications including the creation of fine art, and the collection of data for scientific analysis. The first edition of Advanced High Dynamic Range Imaging presented a complete treatment of the subject ranging from the acquisition of HDR to be used as data for lighting computer graphics scenes to the processing of HDR for display on a wide selection of devices. The first edition covered the theory of HDR, and also provided practical MATLAB^® code for the reader to use. I used the first edition both in a computer graphics course on “Photography-Based Computer Graphics” and in various student research pro jects for acquiring light scattering properties of materials.

Over the past 5 years, not only has the usage of HDR increased, but also research in HDR has continued and accelerated. This second edition of the book covers the important recent advances. There are key updates on many of the topics that were already active at the time of the first edition – acquisition, color management, tone mapping, adapting low dynamic range content to HDR displays, and metrics. In these areas, many initial techniques have been replaced by sophisticated and mature approaches.

The most significant recent advance included in this edition, however, is the emergence of high dynamic range video as a practical medium. High dynamic range video required substantial research rather than simply applying previous work for still images to multiple images. For acquisition, affordable hardware that could rapidly take multiple exposures was needed, and effective de-ghosting algorithms were needed to combine the exposures of changing scenes. Tone mapping and color management for video requires temporal consistency, and investigation of new types of potential perceptual artifacts. The sheer quantity of data for video demands more effective compression schemes.

This new edition is a timely update and expansion of the original text. Practitioners, educat...

Table of contents

• Cover
• Halftitle
• Title
• Copyright
• Table of Contents