泊松合成

S. Raman, S. Chaudhuri
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引用次数: 1

摘要

大多数真实世界的场景都有非常高的动态范围。然而,普通的捕获和显示设备只能处理有限的动态范围。解决这一问题的一般方法是使用多曝光图像,并在辐照域进行合成,得到高动态范围(High Dynamic Range, HDR)图像[Reinhard et al. 2005]。生成的图像将能够忠实地代表现实世界的场景。但是,为了在普通显示器和打印机中显示,它需要色调映射到低动态范围(LDR)图像。在不了解相机响应函数和相机曝光设置的情况下,直接从多曝光图像中生成高质量的场景LDR图像是图形界感兴趣的问题。为了解决上述问题,我们提出了一种梯度域合成技术,称之为泊松合成。我们将所提出的方法与现有的类似技术进行了比较,结果表明,所提出的方法是非常快速和准确的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Poisson compositing
Most of the real world scenes have a very high dynamic range. However the common capture and display devices can handle only a limited dynamic range. General approach to solve this problem is to use multi-exposure images and composite them in the irradiance domain to get a High Dynamic Range (HDR) image [Reinhard et al. 2005]. The generated image will be able to represent the real world scene faithfully. However, it needs to be tone-mapped to a Low Dynamic Range (LDR) image for visualization in common displays and printers. Generation of the high-quality LDR image of the scene directly from multi-exposure images even in the absence of any knowledge of camera response function and the exposure settings of the camera is of interest to graphics community. We propose a gradient domain compositing technique to solve the above problem and call it Poisson Compositing. We compare the proposed methodology with similar existing techniques and show that the proposed method is very fast and accurate.
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