A framework for inverse tone mapping
A framework for inverse tone mapping
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DOI：
10.1007/s00371-007-0124-9
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发表时间：
2007-05
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影响因子：
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通讯作者：
F. Banterle;P. Ledda;Kurt Debattista;A. Chalmers;Marina Bloj
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作者：
F. Banterle;P. Ledda;Kurt Debattista;A. Chalmers;Marina Bloj
近年来，为了在典型的显示设备上显示高动态范围图像（HDRI），已经提出了许多色调映射算子（TMO）。TMO压缩亮度范围，同时试图保持对比度。色调映射的逆，逆色调映射，将低动态范围图像（LDRI）扩展为HDRI。HDRI包含人类视觉系统可以感知的更广泛的物理值。我们提出了一个新的框架，近似解决这个问题。我们的框架使用光源的重要性采样来找到被认为是高亮度的区域，然后应用密度估计来生成anexpand映射，以便使用逆色调映射算子来扩展高亮度区域中的范围。今天的大多数媒体都存储在低动态范围内。因此，逆色调映射算子（iTMO）可以潜在地恢复所有这些内容以用于高动态范围显示和基于图像的照明（IBL）。此外，我们展示了另一个应用程序，有利于快速捕获HDRI用于IBL。
In recent years many tone mapping operators (TMOs) have been presented in order to display high dynamic range images (HDRI) on typical display devices. TMOs compress the luminance range while trying to maintain contrast. The inverse of tone mapping, inverse tone mapping, expands a low dynamic range image (LDRI) into an HDRI. HDRIs contain a broader range of physical values that can be perceived by the human visual system. We propose a new framework that approximates a solution to this problem. Our framework uses importance sampling of light sources to find the areas considered to be of high luminance and subsequently applies density estimation to generate anexpand mapin order to extend the range in the high luminance areas using an inverse tone mapping operator. The majority of today’s media is stored in the low dynamic range. Inverse tone mapping operators (iTMOs) could thus potentially revive all of this content for use in high dynamic range display and image based lighting (IBL). Moreover, we show another application that benefits quick capture of HDRIs for use in IBL.