Abstract
We propose a Tone Mapping Operator, denoted HMD-TMO, dedicated to the visualization of 360\(^\circ \) High Dynamic Range images on Head Mounted Displays. The few existing studies about this topic have shown that the existing Tone Mapping Operators for classic 2D images are not adapted to 360\(^\circ \) High Dynamic Range images. Consequently, several dedicated operators have been proposed. Instead of operating on the entire 360\(^\circ \) image, they only consider the part of the image currently viewed by the user. Tone mapping a part of the 360\(^\circ \) image is less challenging as it does not preserve the global luminance dynamic of the scene. To cope with this problem, we propose a novel tone mapping operator which takes advantage of both a view-dependant tone mapping that enhances the contrast, and a Tone Mapping Operator applied to the entire 360\(^\circ \) image that preserves global coherency. Furthermore, we present a subjective study to model lightness perception in a Head Mounted Display.
Supported by the ANR project ANR-17-CE23-0020.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Perrin, A.-F., Bist, C., Cozot, R., Ebrahimi, T.: Measuring quality of omnidirectional high dynamic range content. In: Optics+Photonics Optical Engineering+Applications Applications of Digital Image Processing XL, p. 38 (2017)
Melo, M., Bouatouch, K., Bessa, M., Coelho, H., Cozot, R., Chalmers, A.: Tone mapping HDR panoramas for viewing in head mounted displays. In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 232–239 (2018)
Yu, M.: Dynamic tone mapping with head-mounted displays. Standford University Report. 5 (2015)
Reinhard, E., Stark, M., Shirley, P., Ferwerda, J.: Photographic tone reproduction for digital images. In: Conference on Computer Graphics and Interactive Techniques, vol. 29, pp. 267–276 (2002)
Cutchin, S., Li, Y.: View Dependent Tone Mapping of HDR Panoramas for Head Mounted Displays. The Eurographics Association (2016)
Fechner, G.T., Howes, D.H., Boring, E.G.: Elements of psychophysics, vol. 1. Holt, Rinehart and Winston, New York (1966)
Reinhard, E., Heidrich, W., Debevec, P., Pattanaik, S., Ward, G., Myszkowski, K.: High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting, vol. 238, 2nd edn. Elsevier, Amsterdam (2010)
Fairchild, M.D.: Color Appearance Models. Wiley, Hoboken (2013)
Larson, G.W., Rushmeier, H., Piatko, C.: A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Trans. Vis. Comput. Graph. 3(4), 291–306 (1997)
Schlick, C.: Quantization techniques for visualization of high dynamic range pictures. In: Sakas, G., Müller, S., Shirley, P. (eds.) Photorealistic Rendering Techniques. Focus on Computer Graphics (Tutorials and Perspectives in Computer Graphics), pp. 7–20. Springer, Heidelberg (1995). https://doi.org/10.1007/978-3-642-87825-1_2
Yeganeh, H., Wang, Z.: Objective quality assessment of tone mapped images. IEEE Trans. Image Process. 22(2), 657–667 (2013)
Acknowledgments
All 360\(^\circ \) HDR images come from free SYNS and LizardQ datasets. This work has been supported by the ANR project ANR-17-CE23-0020. We would like to thank Kadi Bouatouch for his help and proofreading. Thanks to all experiment participants for their contributions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Goudé, I., Cozot, R., Banterle, F. (2019). HMD-TMO: A Tone Mapping Operator for 360\(^\circ \) HDR Images Visualization for Head Mounted Displays. In: Gavrilova, M., Chang, J., Thalmann, N., Hitzer, E., Ishikawa, H. (eds) Advances in Computer Graphics. CGI 2019. Lecture Notes in Computer Science(), vol 11542. Springer, Cham. https://doi.org/10.1007/978-3-030-22514-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-22514-8_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22513-1
Online ISBN: 978-3-030-22514-8
eBook Packages: Computer ScienceComputer Science (R0)