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首页> 外文会议>ACM SIGGRAPH symposium on interactive 3D graphics and games 2011 >High Quality Elliptical Texture Filtering on GPU
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High Quality Elliptical Texture Filtering on GPU

机译：GPU上的高质量椭圆纹理过滤

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摘要

The quality of the available hardware texture filtering, even on state of the art graphics hardware, suffers from several aliasing artifacts, in both spatial and temporal domain. Those artifacts are mostly evident in extreme conditions, such as grazing viewing angles, highly warped texture coordinates, or extreme perspective and become especially annoying when animation is involved. In this paper we introduce a method to perform high quality texture filtering on GPU, based on the theory behind the Elliptical Weighted Average (EWA) filter. Our method uses the underlying anisotropic filtering hardware of the GPU to construct a filter that closely matches the shape and the properties of the EWA filter, offering vast improvements in the quality of texture mapping while maintaining high performance. Targeting real-time applications, we also introduce a novel spatial and temporal sample distribution scheme that distributes samples in space and time, permitting the human eye to perceive a higher image quality, while using less samples on each frame. Those characteristics make our method practical for use in games and other interactive applications. For cases where quality is more important than speed, like GPU Tenderers and image manipulation programs, we also present an exact implementation of the EWA filter that smartly uses the underlying bilinear filtering hardware to gain a significant speedup.
机译：甚至在最先进的图形硬件上，可用的硬件纹理过滤的质量在空间和时间域上都遭受多个混叠伪像的困扰。这些伪像在极端条件下（例如放牧视角，高度扭曲的纹理坐标或极端透视）最明显，并且在涉及动画时特别令人讨厌。在本文中，我们基于椭圆加权平均（EWA）过滤器背后的理论，介绍了一种在GPU上执行高质量纹理过滤的方法。我们的方法使用GPU的底层各向异性过滤硬件来构建与EWA过滤器的形状和属性紧密匹配的过滤器，从而在保持高性能的同时大幅改善了纹理贴图的质量。针对实时应用，我们还介绍了一种新颖的时空样本分配方案，该方案可以按时空分配样本，使人眼可以感知到更高的图像质量，同时在每帧上使用更少的样本。这些特征使我们的方法可用于游戏和其他交互式应用程序。对于质量比速度更重要的情况，例如GPU渲染器和图像处理程序，我们还介绍了EWA过滤器的精确实现，该方法巧妙地使用了基础的双线性过滤硬件来显着提高速度。

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