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This article was taken from a blog posting on IDZ by Leigh Davies at Intel Corp, highlighting work and results completed by Leigh and his colleague Filip Strugar in the new AA technique being referred to as Conservative Morphological Anti-Aliasing. Below is the content of the blog along with the available code project download for your examinationThis sample presents a new, image-based, post-processing antialiasing technique referred to as Conservative Morphological Anti-Aliasing and can be downloaded here. The technique was originally developed by Filip Strugar at Intel for use in GRID2 by Codemasters®, to offer a high performance alternative to traditional multi sample anti-aliasing (MSAA) while addressing artistic concerns with existing post-processing antialiasing techniques. The sample allows CMAA to be compared with several popular post processing techniques together with hardware MSAA in a real time rendered scene as well as to an existing image. The scene is rendered using a simple HDR technique and includes basic animation to allow the user to compare how the different techniques cope with temporal artifacts in addition to static portions of the image.