Title

High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content

Authors

Authors

F. Banterle; K. Debattista; A. Artusi; S. Pattanaik; K. Myszkowski; P. Ledda;A. Chalmers

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abstract

In the last few years, researchers in the field of High Dynamic Range (HDR) Imaging have focused on providing tools for expanding Low Dynamic Range (LDR) content for the generation of HDR images due to the growing popularity of HDR in applications, such as photography and rendering via Image-Based Lighting, and the imminent arrival of HDR displays to the consumer market. LDR content expansion is required due to the lack of fast and reliable consumer level HDR capture for still images and videos. Furthermore, LDR content expansion, will allow the re-use of legacy LDR stills, videos and LDR applications created, over the last century and more, to be widely available. The use of certain LDR expansion methods, those that are based on the inversion of Tone Mapping Operators (TMOs), has made it possible to create novel compression algorithms that tackle the problem of the size of HDR content storage, which remains one of the major obstacles to be overcome for the adoption of HDR. These methods are used in conjunction with traditional LDR compression methods and can evolve accordingly. The goal of this report is to provide a comprehensive overview on HDR Imaging, and an in depth review on these emerging topics.

Journal Title

Computer Graphics Forum

Volume

28

Issue/Number

8

Publication Date

1-1-2009

Document Type

Article

First Page

2343

Last Page

2367

WOS Identifier

WOS:000272569400027

ISSN

0167-7055

Share

COinS