Return to search

Survey and Evaluation of Tone Mapping Operators for HDR-video

This work presents a survey and a user evaluation of tone mapping operators (TMOs) for high dynamic range (HDR) video, i.e. TMOs that explicitly include a temporal model for processing of variations in the input HDR images in the time domain. The main motivations behind this work is that: robust tone mapping is one of the key aspects of HDR imaging [Reinhard et al. 2006]; recent developments in sensor and computing technologies have now made it possible to capture HDR-video, e.g. [Unger and Gustavson 2007; Tocci et al. 2011]; and, as shown by our survey, tone mapping for HDR video poses a set of completely new challenges compared to tone mapping for still HDR images. Furthermore, video tone mapping, though less studied, is highly important for a multitude of applications including gaming, cameras in mobile devices, adaptive display devices and movie post-processing. Our survey is meant to summarize the state-of-the-art in video tonemapping and, as exemplified in Figure 1 (right), analyze differences in their response to temporal variations. In contrast to other studies, we evaluate TMOs performance according to their actual intent, such as producing the image that best resembles the real world scene, that subjectively looks best to the viewer, or fulfills a certain artistic requirement. The unique strength of this work is that we use real high quality HDR video sequences, see Figure 1 (left), as opposed to synthetic images or footage generated from still HDR images. / VPS

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-92672
Date January 2013
CreatorsEilertsen, Gabriel, Unger, Jonas, Wanat, Robert, Mantiuk, Rafal
PublisherLinköpings universitet, Medie- och Informationsteknik, Linköpings universitet, Tekniska högskolan, Linköpings universitet, Medie- och Informationsteknik, Linköpings universitet, Tekniska högskolan, Bangor University, UK, Bangor University, UK
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeConference paper, info:eu-repo/semantics/conferenceObject, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationSiggraph 2013 Talks

Page generated in 0.0017 seconds