Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 21, Issue 1, Pages 341-357Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2011.2157514
Keywords
Dynamic range; probabilistic model; scene modeling
Funding
- National Natural Science Foundation of China [60873124]
- Natural Science Foundation of Zhejiang Province [Y1090516]
- Chinese Universities Scientific Fund [2009QNA5015]
- National Key Technology Research and Development Program [2008BAH26B02]
- Australian Research Council [LP100200774, DP1093762, LP0989721, DP0988016]
- Australian Research Council [DP0988016, LP0989721, DP1093762] Funding Source: Australian Research Council
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The luminance of a natural scene is often of high dynamic range (HDR). In this paper, we propose a new scheme to handle HDR scenes by integrating locally adaptive scene detail capture and suppressing gradient reversals introduced by the local adaptation. The proposed scheme is novel for capturing an HDR scene by using a standard dynamic range (SDR) device and synthesizing an image suitable for SDR displays. In particular, we use an SDR capture device to record scene details (i.e., the visible contrasts and the scene gradients) in a series of SDR images with different exposure levels. Each SDR image responds to a fraction of the HDR and partially records scene details. With the captured SDR image series, we first calculate the image luminance levels, which maximize the visible contrasts, and then the scene gradients embedded in these images. Next, we synthesize an SDR image by using a probabilistic model that preserves the calculated image luminance levels and suppresses reversals in the image luminance gradients. The synthesized SDR image contains much more scene details than any of the captured SDR image. Moreover, the proposed scheme also functions as the tone mapping of an HDR image to the SDR image, and it is superior to both global and local tone mapping operators. This is because global operators fail to preserve visual details when the contrast ratio of a scene is large, whereas local operators often produce halos in the synthesized SDR image. The proposed scheme does not require any human interaction or parameter tuning for different scenes. Subjective evaluations have shown that it is preferred over a number of existing approaches.
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