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

Abstract

© 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.

• 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
• Publicly Available Date: Oct 23, 2017
• Journal: Signal Processing: Image Communication
• Print ISSN: 0923-5965
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 48
• Pages: 50-62
• DOI: https://doi.org/10.1016/j.image.2016.09.004
• Keywords: high dynamic range imaging, tone mapping operators, real-time tone mapping, GPU programming
• Public URL: https://uwe-repository.worktribe.com/output/907387
• Publisher URL: https://doi.org/10.1016/j.image.2016.09.004
• Contract Date: Oct 23, 2017