“iCAM for high-dynamic-range image rendering” by Kuang, Johnson and Fairchild

  • ©Jiangtao Kuang, Garrett M. Johnson, and Mark D. Fairchild

  • ©Jiangtao Kuang, Garrett M. Johnson, and Mark D. Fairchild




    iCAM for high-dynamic-range image rendering



    Traditional color appearance models, such as CIECAM02, are intended for prediction of stimulus’ color appearance in somewhat simplified viewing conditions. It is normally assumed that a uniformed color patched is viewed on a uniformed background with different color. However, images are more complex than that. Image appearance model (iCAM) [Fairchild and Johnson 2004] has been proposed to extend the traditional approaches to predict more complex stimulus in a wider array of viewing environments that are varied spatially and temporally, and has shown great potential in a variety of applications. In this poster, a new iCAM framework was presented for the application of rendering high-dynamic-range (HDR) images or scenes into limited dynamic-range displays. Furthermore, this model is designed to predict how real-scenes perceptually appear by incorporating the prediction of color appearance effects such as the Hunt effect, the Steven effect and the surround effect.


    1. Fairchild M. D. and Johnson G. M. 2004. The iCAM framework for image appearance, image differences, and image quality, Journal of Electronic Imaging, 13 126–138.

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©Jiangtao Kuang, Garrett M. Johnson, and Mark D. Fairchild

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