Predicting visible differences in high dynamic range images: model and its calibration

Rafal Mantiuk; Scott J. Daly; Karol Myszkowski; Hans-Peter Seidel

doi:10.1117/12.586757

18 March 2005 Predicting visible differences in high dynamic range images: model and its calibration

Rafal Mantiuk, Scott J. Daly, Karol Myszkowski, Hans-Peter Seidel

Proceedings Volume 5666, Human Vision and Electronic Imaging X; (2005) https://doi.org/10.1117/12.586757
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

New imaging and rendering systems commonly use physically accurate lighting information in the form of high-dynamic range (HDR) images and video. HDR images contain actual colorimetric or physical values, which can span 14 orders of magnitude, instead of 8-bit renderings, found in standard images. The additional precision and quality retained in HDR visual data is necessary to display images on advanced HDR display devices, capable of showing contrast of 50,000:1, as compared to the contrast of 700:1 for LCD displays. With the development of high-dynamic range visual techniques comes a need for an automatic visual quality assessment of the resulting images. In this paper we propose several modifications to the Visual Difference Predicator (VDP). The modifications improve the prediction of perceivable differences in the full visible range of luminance and under the adaptation conditions corresponding to real scene observation. The proposed metric takes into account the aspects of high contrast vision, like scattering of the light in the optics (OTF), nonlinear response to light for the full range of luminance, and local adaptation. To calibrate our HDR VDP we perform experiments using an advanced HDR display, capable of displaying the range of luminance that is close to that found in real scenes.

Citation Download Citation

Rafal Mantiuk, Scott J. Daly, Karol Myszkowski, and Hans-Peter Seidel "Predicting visible differences in high dynamic range images: model and its calibration", Proc. SPIE 5666, Human Vision and Electronic Imaging X, (18 March 2005); https://doi.org/10.1117/12.586757

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