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Out-of-Core Photon Mapping Based on Noise-reduced Photon Maps

机译：基于降噪光子图的核外光子映射

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摘要

Photon mapping is an efficient method which produces high-quality photorealistic images. Based on finite memory space, we propose a new photon mapping algorithm based on noise-reduced photon maps of external memory. Our method groups noise-reduced photon maps corresponding to some original photon maps whose photons have a lot of noise by some stages of photon tracing, according to an energy distribution between photons. Then we save these groups of noise-reduced photon maps into the external memory. In the stage of illumination estimation, we read each group of noise-reduced photon maps into internal memory for producing the corresponding image, in order to obtain the final image by averaging these images. As these groups of noise-reduced photon maps are saved into external memory, we need not to repeat a very long stage of photon tracing as rendering, so the total computational time of final image is very short. We can effectively reduce the bias of final image by increasing the photon map number of each group of noise-reduced photon maps, and reduce the noise of final image by increasing the number of original photon maps.
机译：光子映射是一种产生高质量逼真的图像的有效方法。基于有限的存储空间，我们提出了一种新的基于外部存储器的降噪光子图的光子映射算法。我们的方法根据光子之间的能量分布，对与某些原始光子图相对应的降噪光子图进行分组，这些原始光子图通过光子跟踪的某些阶段，光子具有很多噪声。然后，我们将这些减少噪声的光子贴图组保存到外部存储器中。在照明估计阶段，我们将每组降噪的光子图读入内部存储器以产生相应的图像，以便通过对这些图像求平均来获得最终图像。由于这些减少噪声的光子图组已保存到外部存储器中，因此我们无需在渲染过程中重复很长的光子跟踪阶段，因此最终图像的总计算时间非常短。我们可以通过增加每组降噪光子图的光子图数量来有效地减少最终图像的偏差，并通过增加原始光子图的数量来降低最终图像的噪声。

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  • 来源
    《Journal of information and computational science》 |2015年第12期|4539-4548|共10页
  • 作者

    Peng Cai; Dehui Kong; Shaofan Wang; Baocai Yin; Yi Huo;

  • 作者单位

    Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

    Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

    Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

    Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

    Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Photon Mapping; Noise; Bias; Noise-reduced Photon Map;

    机译：光子映射噪声;偏压;降噪光子图;

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