HDR Course

Theory and Applications

Information

• Lecturer: Dr. Francesco Banterle
• Period: 15th-26th June 2015
• Room: "Sala Seminari Ovest"
• Time: from 15:00 (3:00pm) to 17:00 (5:00pm)
• Building: Department of Computer Science, University of Pisa

Abstract

This course introduces High Dynamic Range (HDR) imaging theory and applications. Many topics covering the full HDR imaging pipeline will be presented such as: image and video acquisition, HDR displays and printing, tone mapping, inverse (reverse) tone mapping, image and video compression, and image-based lighting.

Lectures

• 15/06/2015 - Introduction
• 16/06/2015 - HDR Image Acquisition
• 17/06/2015 - S. Ranieri bank holiday
• 18/06/2015 - Artifacts Removal in HDR Image Acquisition
• 19/06/2015 - HDR Video Acquisition and Native HDR visualization
• 22/06/2015 - Tone Mapping
• 23/06/2015 - Video Tone Mapping and Inverse (Reverse) Tone Mapping -- Note: lecture in "Sala Seminari Est" room
• 24/06/2015 - HDR Image and Video Compression
• 25/06/2015 - Image-based Lighting
• 26/06/2015 - Piccante, a gentle introduction

Books and other resources

• Advanced High Dynamic Range Imaging, Banterle el al., 2011
• High Dynamic Range Imaging, Reinhard el al., 2010
• High Dynamic Range Imaging, Mantiuk el al., 2015
• PhD Thesis (Chapter 1 and 2), Francesco Banterle, 2009

Programming resources

• Piccante, a C++11 HDR programming library
• The HDR Toolbox for MATLAB
• PFS Tools

HDR Programs

• PictureNaut for Windows
• Photosphere for OS X

Datasets

• HDR images dataset by Paul Debevec
• HDR Survey dataset by Mark Fairchild
• HDR Data by Xiao, Farrell, and Wandell
• HDR lightprobes dataset by Paul Debevec
• HDR high-rese lightprobes dataset by Paul Debevec
• HDR high-res lightprobes dataset by HDRLabs community
• LiU HDRv Repository by Computer Graphics and Image Processing, Visual Computing Laboratory, Linköping Unversity