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Maximum Entropy Spectral Modeling Approach to Mesopic Tone Mapping

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Tone mapping algorithms should be informed by accurate color appearance models (CAM) in order that the perceptual fidelity of the rendering is maintained by the tone mapping transformations. Current tone mapping techniques, however, suffer from a lack of good color appearance models for mesopic conditions. There are only a few currently available appearance models suited to the mesopic range, none of which perform very well. In this paper, we evaluate some of the most prominent models available for mesopic and scotopic vision and, in particular, we focus on the iCAM06 model as one of the best-known tone reproduction techniques. We introduce a spectral-based color appearance model for mesopic conditions which can be incorporated in tone reproduction methods. Based on the maximum entropy spectral modeling approach of Clark and Skaff [1], this is a powerful color appearance model which can predict the color appearance under mesopic conditions as well as under photopic conditions. Our model incorporates the CIE system for mesopic photometry, leading to increased accuracy of color appearance model. At low (mesopic) light levels two factors come into play as compared with high light level (photopic) spectral modeling. The first is that image noise becomes significant. The Clark and Skaff model treats the noise as an inherent part of the modeling process, and an estimate of the noise level sets the tradeoff between the consistency of the solution with the measurements and the spectral smoothing imposed by the maximum entropy constraint. The second factor in mesopic vision is that both the rod and the cone systems are active, requiring a modification to the sensor model. The relative contribution of the rod and cone systems is dependent on the overall light level in this regime, and our approach is adaptive in this sense. We present several experiments comparing the performance of our tone mapping approach with that of the existing methods, showing that the proposed method works very well in this regard, and also demonstrates the potential of our model to become a part of wide-range tone mapping systems.
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Document Type: Research Article

Publication date: January 1, 2013

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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