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Volume: 59 | Article ID: jist0081
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Color Rendering Model for High Dynamic Range Images Using a Tone Mapping Method and a Cone Response Function
  DOI :  10.2352/J.ImagingSci.Technol.2015.59.1.010502  Published OnlineJanuary 2015
Abstract
Abstract

Mapping of the potentially high dynamic range (HDR) of real-world luminance to the low dynamic range (LDR) of photographic devices is one of the classic photographic tasks. Therefore, color compression or color rendering methods have been proposed and described in many works over the past five decades. However, there are well-known problems associated with these methods.

Accordingly, this article presents a color rendering method that is a combination of tone mapping and chromatic adaptation in order to avoid color distortion after performing color correction (or rendering). The tone mapping operator produces visibility, and the overall impression of brightness, contrast, and color in a given HDR image when mapped onto a relatively LDR display or printer. In general, modern display devices differ dramatically from HDR images not only in peak luminance, dark luminance, and dynamic range, but also in the chromaticity of the white point. Ideally, the white point, which always represents its non-chromaticity and chromaticity, is equal to, or very close to, that of the equi-energy stimulus. Therefore, the tone mapping resultant image is obtained using chromatic and achromatic colors. Thereafter, the resulting image is processed through the cone response function using the modified surround luminance factor, and emphasis is placed on human visual perception. The experimental results show that the proposed method yields better performance in color compression than the conventional method in subjective and quantitative quality, and color reproduction.

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  Cite this article 

Ho-Hyoung Choi, Hyun-Soo Kang, Byoung-Ju Yun, "Color Rendering Model for High Dynamic Range Images Using a Tone Mapping Method and a Cone Response Functionin Journal of Imaging Science and Technology,  2015,  pp 010502-1 - 010502-12,  https://doi.org/10.2352/J.ImagingSci.Technol.2015.59.1.010502

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Copyright © Society for Imaging Science and Technology 2015
  Article timeline 
  • received December 2014
  • accepted March 2015
  • PublishedJanuary 2015

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