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Mixing tone mapping operators on the GPU by differential zone mapping based on psychophysical experiments

Banterle, Francesco; Artusi, Alessandro; Sikudova, Elena; Ledda, Patrick; Bashford-Rogers, Thomas; Chalmers, Alan; Bloj, Marina


Francesco Banterle

Alessandro Artusi

Elena Sikudova

Patrick Ledda

Alan Chalmers

Marina Bloj


© 2016 In this paper, we present a new technique for displaying High Dynamic Range (HDR) images on Low Dynamic Range (LDR) displays in an efficient way on the GPU. The described process has three stages. First, the input image is segmented into luminance zones. Second, the tone mapping operator (TMO) that performs better in each zone is automatically selected. Finally, the resulting tone mapping (TM) outputs for each zone are merged, generating the final LDR output image. To establish the TMO that performs better in each luminance zone we conducted a preliminary psychophysical experiment using a set of HDR images and six different TMOs. We validated our composite technique on several (new) HDR images and conducted a further psychophysical experiment, using an HDR display as the reference that establishes the advantages of our hybrid three-stage approach over a traditional individual TMO. Finally, we present a GPU version, which is perceptually equal to the standard version but with much improved computational performance.


Banterle, F., Artusi, A., Sikudova, E., Ledda, P., Bashford-Rogers, T., Chalmers, A., & Bloj, M. (2016). Mixing tone mapping operators on the GPU by differential zone mapping based on psychophysical experiments. Signal Processing: Image Communication, 48, 50-62.

Journal Article Type Article
Acceptance Date Sep 1, 2016
Online Publication Date Sep 12, 2016
Publication Date Oct 1, 2016
Deposit Date Oct 23, 2017
Journal Signal Processing: Image Communication
Print ISSN 0923-5965
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 48
Pages 50-62
Keywords high dynamic range imaging, tone mapping operators, real-time tone mapping, GPU programming
Public URL
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