Attention-based high
dynamic range imaging
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Typical response of a visual neuron |
Attention Map |
Attention Only |
Adaptation Only |
Both |
Overview
Many tone mapping algorithms have been proposed based on the studies in Human Visual System; however, they rarely addressed the effects of attention to contrast response. As attention plays an important role in human visual system, we proposed a local tone mapping method that respects both attention and adaptation effects. We adopt the High Dynamic Range (HDR) saliency map
to compute an attention map, which predicts the
attentive regions and nonattentative
regions in an HDR image. The attention map is then used to locally adjust the contrast of the HDR image according to attention and adaptation models found in psychophysics. We applied our tone mapping approach to HDR images and videos and compared with the results generated by three state-of-the-art tone mapping algorithms. Our experiments show that our approach produces results with better image quality in terms of preserving details and chromaticity of visual saliency.
Publications
¡P
Wen-Chieh Lin and Zhi-Cheng Yan, ¡§Attention-based High Dynamic Range Imaging,¡¨ The Visual
Computer, Vol. 27, No. 6, 2011, pp.
717-727.
Results of HDR Images and HDR
Videos
1. Comparison with other approaches on HDR
Images:
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Histogram adjustment |
Optimization tone mapping |
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Photographic tone reproduction |
Our approach |
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Histogram adjustment |
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Optimization tone mapping |
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Photographic tone reproduction |
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Our approach |
2. Comparison of our approach with the photographic tone reproduction
approach on HDR Videos
(The original HDR videos are courtesy of Grzegorz Krawczyk)