论文标题

小波透明度

Wavelet Transparency

论文作者

Aizenshtein, Maksim, Smal, Niklas, McGuire, Morgan

论文摘要

独立的透明度方案依赖于透射的低阶近似值作为深度的函数。我们介绍了此功能的新小波表示,以及用于在GPU上有效构建和评估其的算法。然后,我们将独立的现象学透明度算法扩展到我们的表示形式,并引入了折射中色差的新现象学近似。这会产生可比较的图像质量,以引起参考A屏蔽,以挑战烟雾覆盖,更现实的折射以及与最先进的时刻透明度相当或更好的性能和带宽,并具有更简单的实现。

Order-independent transparency schemes rely on low-order approximations of transmittance as a function of depth. We introduce a new wavelet representation of this function and an algorithm for building and evaluating it efficiently on a GPU. We then extend the order-independent Phenomenological Transparency algorithm to our representation and introduce a new phenomenological approximation of chromatic aberration under refraction. This generates comparable image quality to reference A-buffering for challenging cases such as smoke coverage, more realistic refraction, and comparable or better performance and bandwidth to the state-of-the-art Moment transparency with a simpler implementation.

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