过滤器重要性采样

Manfred Ernst, Marc Stamminger, Günther Greiner
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引用次数: 16

摘要

高质量的光线跟踪需要像素采样和滤波以实现抗混叠,以及复杂照明效果的照明采样。这两个问题都很容易理解,并且每个问题都可以使用复杂的采样技术。然而,事实证明,加权像素采样破坏了聪明的照明采样的好处,即使有最好的过滤功能。我们建议通过使用像素采样和基于重要性采样的滤波来规避这个问题。虽然该技术不允许在相邻像素之间共享样本,但它可以显著降低噪声并提高图像质量。该方法易于实现,并且非常适合并行的、基于tile的渲染
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Filter Importance Sampling
High quality ray tracing requires pixel sampling and filtering for antialiasing, as well as illumination sampling for complex lighting effects. Both problems are well understood and sophisticated sampling techniques are available for each of them. However, it turns out that weighted pixel sampling spoils the benefits of clever illumination sampling, even with the best filter functions. We propose to circumvent this problem by using pixel sampling and filtering based on importance sampling. Although this technique disallows sharing of samples between neighboring pixels, it results in significant noise reduction and improvement of image quality. The method is easy to implement and well suited for parallel, tile based rendering
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