HVS based histogram adjustment for tone mapping

I. R. Khan, Zhiyong Huang, F. Farbiz, C. Manders, S. Rahardja
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引用次数: 3

Abstract

Global tone mapping operators (TMOs) are better in preserving the naturalness and relative illumination of the HDR scene compared to the local TMOs. However, they cannot preserve the details like the local TMOs. We propose a human visual system (HVS) based histogram method for global tone mapping, which can better preserve the details than the existing global TMOs. Our method can be incorporated to all histogram based global methods. We compare our results with traditional histogram adjustment by Ward et al. [Larson97] and photographic TMO [Reinhard2002], and in most of the cases our method is better in preserving the details of the input HDR images.
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基于HVS的色调映射直方图调整
与局部色调映射算子相比,全局色调映射算子能更好地保持HDR场景的自然度和相对照度。然而,它们不能像本地tmo那样保留细节。提出了一种基于人类视觉系统(HVS)的全局色调映射直方图方法,该方法比现有的全局色调映射能更好地保留细节。我们的方法可以合并到所有基于直方图的全局方法中。我们将我们的结果与Ward等人[Larson97]和摄影TMO [Reinhard2002]的传统直方图调整结果进行了比较,在大多数情况下,我们的方法在保留输入HDR图像的细节方面做得更好。
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