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Lighting condition adaptive tone mapping method

Published: 12 August 2018 Publication History

Abstract

We propose an adaptive tone mapping method for displaying HDR images according to ambient light conditions. To compensate the loss of perceived luminance in brighter viewing conditions, we enhance the HDR image by an algorithm based on the Naka-Rushton model. Changes of the HVS response under different adaptation levels are considered and we match the response under the ambient conditions with the plateau response to the original HDR scene. The enhanced HDR image is tone mapped through a tone mapping curve constructed by the original image luminance histogram to produce visually pleasing images under given viewing conditions.

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References

[1]
J. E. Dowling. 1987. The Retina: An Approachable Part of the Brain. Cambridge, MA: Belknap Press.
[2]
I. R. Khan, S. Rahardja, M. M. Khan, M. M. Movania, and F Abed. 2018. A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System. IEEE Transactions on Industrial Electronics 65, 4 (2018), 3469--3479.
[3]
Dae-Chul Kim, Ji-Hoon Yoo, and Won-Hee Choe. 2017. Visibility Enhancement of Mobile Device Through Luminance and Chrominance Compensation Upon Hue. IEEE Transactions on Industrial Electronics 84, 4 (April 2017), 3039--3047.
[4]
R. Mantiuk, S. Daly, and L. Kerofsky. 2008. Display Adaptive Tone Mapping. ACM Transactions on Graphics 27, 3 (2008), 1--10.
[5]
L. Wang and C. Jung. 2017. Surrounding adaptive tone mapping in displayed images under ambient light. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1992--1996.

Cited By

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  • (2022)Unified implementation of global high dynamic range image tone-mapping algorithmsMathematical Biosciences and Engineering10.3934/mbe.202221519:5(4643-4656)Online publication date: 2022
  • (2020)Tone-Mapping Using Perceptual-Quantizer and Image HistogramIEEE Access10.1109/ACCESS.2020.29732738(31350-31358)Online publication date: 2020

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  1. Lighting condition adaptive tone mapping method

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    cover image ACM Conferences
    SIGGRAPH '18: ACM SIGGRAPH 2018 Posters
    August 2018
    148 pages
    ISBN:9781450358170
    DOI:10.1145/3230744
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 12 August 2018

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    Author Tags

    1. adaptive tone mapping
    2. human visual system
    3. lighting condition
    4. luminance compensation

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    Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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    Cited By

    View all
    • (2022)Unified implementation of global high dynamic range image tone-mapping algorithmsMathematical Biosciences and Engineering10.3934/mbe.202221519:5(4643-4656)Online publication date: 2022
    • (2020)Tone-Mapping Using Perceptual-Quantizer and Image HistogramIEEE Access10.1109/ACCESS.2020.29732738(31350-31358)Online publication date: 2020

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