CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 2011 vol.33 Issue No.10 - October
Issue No.10 - October (2011 vol.33)
S. Ferradans , Dept. de Tecnol. de la Inf. y las Comun., Univ. Pompeu Fabra, Barcelona, Spain
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2011.46
Tone Mapping is the problem of compressing the range of a High-Dynamic Range image so that it can be displayed in a Low-Dynamic Range screen, without losing or introducing novel details: The final image should produce in the observer a sensation as close as possible to the perception produced by the real-world scene. We propose a tone mapping operator with two stages. The first stage is a global method that implements visual adaptation, based on experiments on human perception, in particular we point out the importance of cone saturation. The second stage performs local contrast enhancement, based on a variational model inspired by color vision phenomenology. We evaluate this method with a metric validated by psychophysical experiments and, in terms of this metric, our method compares very well with the state of the art.
visual perception, data compression, image coding, screens (display), color vision phenomenology, visual adaptation, contrast perception, tone mapping, high-dynamic range image compression, low-dynamic range screen, observer, cone saturation, Image color analysis, Mathematical model, Visualization, Equations, Retina, Photoreceptors, Adaptation model, Weber-Fechner contrast., High-dynamic range images, tone mapping, Naka-Rushton equation
S. Ferradans, "An Analysis of Visual Adaptation and Contrast Perception for Tone Mapping", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.33, no. 10, pp. 2002-2012, October 2011, doi:10.1109/TPAMI.2011.46