Publications in Scientific Journals:

M. Rezagholizadeh, T. Akhavan, A. Soudi, H. Kaufmann, J. Clark:
"A Retargeting Approach for Mesopic Vision: Simulation and Compensation";
Journal of Imaging Science & Technology, 60 (2016), 1; 1 - 12.

English abstract:
Retargeting approaches aim at providing a uni ed framework for image rendering in
which both the intended scene luminance and the actual luminance of the display are taken
into account. At the core of any color retargeting method, a color vision model and its
inverse are employed. Such a color appearance model should be invertible and cover the
entire luminance range of the human visual system. There are not many available models
which meet these two conditions. Moreover, most of these models are developed based on
psychophysical experiments over color patches, and many have never been used for complex
images due to their complexity. In this research, a color retargeting approach based on the
mesopic model of Shin et al. [1] is developed to work with complex images. We propose an
inverse model for complex images to compensate for color appearance changes on dimmed
displays viewed in dark environment. Our experimental results using both quantitative and
qualitative evaluations show a discriminative improvement in the perceived color quality for
mesopic vision. The proposed method can be incorporated into image retargeting techniques
and display rendering mechanisms.

Color Retargeting Algorithm, Display Rendering Algorithm,Color Appearance Models, Low Light Levels, Mesopic Vision, Simulation and Compensation

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.