一种低成本的移动设备抗混叠方案

2015 2nd International Conference on Information Science and Control Engineering Pub Date : 2015-04-24 DOI:10.1109/ICISCE.2015.11

Daolu Zha, Xi Jin, An Wu, Tian Xiang, Xueliang Du

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引用次数: 0

摘要

提出了一种改进的抗混叠采样算法，以减少移动设备中由于超采样而增加的内存消耗。六点各向异性采样混合了一个像素的两个样本，以及附近的像素。实验结果表明，六点各向异性采样比传统的FLIPQUAD抗混叠超采样算法减少了50%的内存消耗。该方法具有与FLIPQUAD相似的质量，仅消耗50%的内存。

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A Low Cost Anti-aliasing Scheme for Mobile Devices

An improved anti-aliasing sampling algorithm is submitted to reduce the increasing memory consumption caused by super-sampling in mobile devices. Six-point anisotropy sampling blends the two samples of a pixel, as well as the nearby pixels. Experiment results showed that six-point anisotropy sampling has reduced the memory consumption by 50% than traditional FLIPQUAD anti-aliasing super-sampling algorithm. This method has similar quality to FLIPQUAD with only 50% memory consumption.

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2015 2nd International Conference on Information Science and Control Engineering

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