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An Adaptive Tone Mapping Algorithm for High Dynamic Range Images

机译：高动态范围图像的自适应色调映射算法

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摘要

Real world scenes contain a large range of light intensities which range from dim starlight to bright sunlight. A common task of tone mapping algorithms is to reproduce high dynamic range(HDR) images on low dynamic range(LDR) display devices such as printers and monitors. In this paper, a new tone mapping algorithm is proposed for the display of HDR images. Inspired by the adaptive process of the human visual system, the proposed algorithm utilized the center-surround Retinex processing. The novelty of our method is that the local details are enhanced according to a non-linear adaptive spatial filter (Gaussian filter), whose shape is adapted to high-contrast edges of the image. The proposed method uses an adaptive surround instead of the traditional pre-defined circular. Therefore, the algorithm can preserve visibility and contrast impression of high dynamic range scenes in the common display devices. The proposed method is tested on a variety of HDR images, and we also compare it to previous work. The results show good performance of our method in terms of visual quality.
机译：现实世界的场景包含大范围的光线强度，从昏暗的星光到明亮的阳光。色调映射算法的常见任务是在低动态范围（LDR）显示设备（例如打印机和监视器）上再现高动态范围（HDR）图像。本文提出了一种用于HDR图像显示的新色调映射算法。受人类视觉系统自适应过程的启发，该算法利用了围绕中心的Retinex处理。我们方法的新颖之处在于，根据非线性自适应空间滤波器（高斯滤波器）增强了局部细节，该滤波器的形状适合于图像的高对比度边缘。所提出的方法使用自适应环绕代替传统的预定义圆形。因此，该算法可以保留普通显示设备中高动态范围场景的可见性和对比度印象。所提出的方法已在各种HDR图像上进行了测试，我们还将其与以前的工作进行了比较。结果显示我们的方法在视觉质量方面表现良好。

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