RAM-based tone mapping for high dynamic range images

Authors:
Jianbing Shen;Hanqiu Sun;Hanli Zhao;Xiaogang Jin
Affiliations:
School of Computer Science and Technology, Beijing Institute of Technology, Beijing and State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, China
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

In this paper we present a novel tone mapping algorithm for high dynamic range (HDR) images using the retinal adaptation model (RAM). The physiological evidence suggests that the RAM is obtained by measuring intensity-response functions to flashes of light presented under varying adaptation conditions, which leads to a theoretic-sound model that can be flexibly adapted for tone reproduction. The multiplicative-subtractive process of the model can provide high quality tone mapping results for rendering the HDR images. The experimental results demonstrate that our RAM-based tone mapping approach is effective to produce pleasing results on HDR images in a wide range of real-world scenarios.