Advanced High Dynamic Range Imaging

Welcome!

 

This is the main resource for the book Advanced High Dynamic Range Imaging (2nd edition) by Francesco Banterle, Alessandro Artusi, Kurt Debattista, and Alan Chalmers, 328 pages by AK Peters (now CRC Press), ISBN: 978-1498706940, list price $92.74. Bibtex Entry.

 

Editorial Review: Book Cover 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.

 

The second edition of the book is now available, please check it out on amazon.com.

The first edition of the book is still available, please check it out on amazon.com.

 

Table of Contents:

  1. Introduction
    1. Light, Human Vision, and Color Spaces
  2. HDR Pipeline
    1. Acquisition of HDR Content
    2. HDR Content Storing
    3. Native Visualization
  3. Tone Mapping
    1. TMO MATLAB Framework
    2. Global Operators
    3. Local Operators
    4. Frequency-based/Gradient Domain Operators
    5. Segmentation Operators
    6. Summary
  4. New Trends in Tone Mapping
    1. A General Approach to Tone Mapping
    2. Color Management in Tone Mapping
    3. Local Operators
    4. Summary
  5. Video Tone Mapping
    1. Temporal Artifact
    2. HDR Videos MATLAB Framework
    3. Global Temporal Methods
    4. Temporal Local Methods
    5. Real-Time HDR Video Tone Mapping
    6. Summary
  6. Expansion Operators for Low Dynamic Range Content
    1. Linearization of the Signal using a Single Image
    2. Decontouring Models for High Contrast Displays
    3. EO MATLAB Framework
    4. Global Models
    5. Classification Models
    6. Expand Map Models
    7. User Based Models: HDR Hallucination
    8. Summary
  7. Image-based Lighting
    1. Environment Map
    2. Rendering with IBL
    3. Summary
  8. HDR Images Compression
    1. HDR Compression MATLAB Framework
    2. HDR Image Compression
    3. HDR Texture Compression
    4. Summary
  9. HDR Video Compression
    1. Perception-Motivated High Dynamic Range Video Encoding
    2. Backward Compatible HDR-MPEG
    3. Rate-Distortion Optimized Compression
    4. Temporally Coherent Luminance-to-Luma Mapping
    5. Optimizing a Tone Mapping Curve for Encoding
    6. Perceptual Quantizer
    7. Hybrid Log Gamma
    8. Other Methods
    9. Summary
  10. Evaluation
    1. Metrics
    2. Experimental Evaluation Overview
    3. Experimental Evaluation of Tone Mapping
    4. Experimental Evaluation of Expansion Operators
    5. HDR Compression Evaluation
    6. Summary
  1. The Bilateral Filter
  2. Practical Color Spaces
  3. A Brief Overview of the Matlab HDR Toolbox

 

Download:

The latest version of the source code can be now downloaded from here:

GitHub

Errata for the second edition:

Errata can be downloaded at this LINK.

Errata for the first edition:

Errata can be downloaded at this LINK.

Authors:

Francesco Banterle is a researcher at the Visual Computing Laboratory at ISTI-CNR Italy. He received a Ph.D. in Engineering from Warwick University in 2009. During his Ph.D. he developed Inverse Tone Mapping which bridges the gap between Low Dynamic Range Imaging and High Dynamic Range (HDR) Imaging. He holds a B.Sc. and a M.Sc. in Computer Science from Verona University. His main research fields are HDR imaging, rendering, computer vision, and parallel processing (GPUs and shared memory systems).

Dr. Alessandro Artusi is a Ramon Y Cajal Fellow at the University of Girona (Spain) with the Departament d'Informatica I Matemática Aplicada. He holds a Ph.D. degree from the Vienna University of Technology, in Computer Graphics, where he worked as a research associate in the Computer Graphics group from 2000-2005. He obtained his Msc. degree in Computer Science from the University of Mialno (Italy), in collaboration with the Italian National Council of Research (CNR) and the Hewlet Packard research laboratory of Barcelona (Spain). Artusi has been also an ERCIM Research fellow in the 2007 at the Hungarian National Council of Research (SZTAKI). Prior to this, he has been Assistant Professor at Intercollege (now University of Nicosia) in Cyprus (2005 - 2006), then Research fellow at Warwick Digital Laboratory, University of Warwick in UK (2007 - 2009) and Researcher at the Cyprus Institute in Cyprus (2009 - 2012). Dr. Artusi has been receiving several awards and prizes such as the Ramon Y Cajal fellowship in the 2012, the 1st Prize at the International Cyprus Enterpreneurship Competition CyEC 2010, with a business idea on a novel High Dynamic Range technology and the ERCIM Research fellowship in the 2007. He is also member of the MPEG and JPEG standards committees' (WG11 and WG1 respectively), working on a new JPEG backward compatible standard for still HDR images. He is technology advisor for Trellis Management (XDepth) and co-founder of goHDR spin-off of the Warwick University. He is associated editor with the Journal of Graphics Tools (CRC Press) and the Journal of the Institute of Industrial Applications Engineers, board committe member of the HDRi cost-I1005 action, member of International programme committee's and reviewer for major International conferences and journals. In the past he has also been member of the Extranet Forum for the European Defence Agency (EDA). Artusi's main research interests are in the areas of High Dynamic Range Imaging, Image Processing applied on Computer Graphics and Colour Science. He is the co-author of the CRC Press book with the title "Advanced High Dynamic Range Imaging: Theory and Practice", author or the co-author of more than 40 research publications, and holds 6 patents.

Kurt Debattista is an Assistant Professor at the University of Warwick. He has a Ph.D. in Computer Science from the University of Bristol. He also has an M.Sc. (with distinction) in Computer Science from the University of Malta and a B.Sc. in Mathematics and Computer Science from the University of Malta. His research, published in over 60 papers, has focused on high dynamic range imaging, perceptual rendering, global illumination and parallel computing.

Alan Chalmers is a Professor of Visualisation at the International Digital Laboratory, WMG, University of Warwick, UK. He has an MSc with distinction from Rhodes University, 1985 and a PhD from University of Bristol, 1991. He has published over 190 papers in journals and international conferences on high-fidelity graphics, multi- sensory perception, HDR imaging, virtual archaeology and parallel rendering. He is Honorary President of Afrigraph and a former Vice President of ACM SIGGRAPH. He is a co-founder and Innovation Director of goHDR Ltd. His research goal is "Real Virtuality", obtaining physically-based, multi-sensory, realistic virtual environments at interactive rates.

Contact:

For any question about the book (errata, etc.) and the Matlab source code please send an e-mail at:
support [AT] advancedhdrbook [DOT] com