公开(公告)号：US20130106902A1

公开(公告)日：2013-05-02

申请号：US13724129

申请日：2012-12-21

Applicant: Advanced Micro Devices, Inc.

Inventor： Konstantine Iourcha ,  Jason Yang ,  Andrew Pomianowski

IPC: G06T5/00

CPC classification number: G06T5/00 ,  G06T5/002 ,  G06T2200/12 ,  G06T2207/20192

Abstract: A filtering method and apparatus for anti-aliasing takes advantage of improved existing hardware by using as input the data stored in the multisampling anti-aliasing (MSAA) buffers after rendering. The standard hardware box-filter is then replaced with a more intelligent resolve implemented using shader programs. Embodiments find scene edges using existing samples generated by Graphics Processing Unit (GPU) hardware. Using samples from a footprint larger than a single pixel, a gradient is calculated matching the direction of an edge. A non-linear filter over contributing samples in the direction of the gradient gives the final result.

Abstract translation: 用于抗锯齿的滤波方法和装置通过在渲染之后使用存储在多采样抗混叠（MSAA）缓冲器中的数据作为输入来利用改进的现有硬件。 然后，标准硬件盒式过滤器将使用着色器程序实现更智能的解决方案。 实施例使用由图形处理单元（GPU）硬件生成的现有样本来找到场景边缘。 使用来自大于单个像素的足迹的样本，计算与边缘方向匹配的梯度。 在梯度方向上提供样本的非线性滤波器给出最终结果。

公开(公告)号：US09019299B2

公开(公告)日：2015-04-28

申请号：US13724129

申请日：2012-12-21

Applicant: Advanced Micro Devices, Inc.

Inventor： Konstantine Iourcha ,  Jason Yang ,  Andrew Pomianowski

IPC: G09G5/00 ,  G06T5/00

CPC classification number: G06T5/00 ,  G06T5/002 ,  G06T2200/12 ,  G06T2207/20192

Abstract: A filtering method and apparatus for anti-aliasing takes advantage of improved existing hardware by using as input the data stored in the multisampling anti-aliasing (MSAA) buffers after rendering. The standard hardware box-filter is then replaced with a more intelligent resolve implemented using shader programs. Embodiments find scene edges using existing samples generated by Graphics Processing Unit (GPU) hardware. Using samples from a footprint larger than a single pixel, a gradient is calculated matching the direction of an edge. A non-linear filter over contributing samples in the direction of the gradient gives the final result.

Abstract translation: 用于抗锯齿的滤波方法和装置通过在渲染之后使用存储在多采样抗混叠（MSAA）缓冲器中的数据作为输入来利用改进的现有硬件。 然后，标准硬件盒式过滤器将使用着色器程序实现更智能的解决方案。 实施例使用由图形处理单元（GPU）硬件生成的现有样本来找到场景边缘。 使用来自大于单个像素的足迹的样本，计算与边缘方向匹配的梯度。 在梯度方向上提供样本的非线性滤波器给出最终结果。