摘要
针对工业检测中用传统的降噪方法难于进行实时处理的问题,提出了一种基于图形处理器(GPU)加速的动态降噪方法。借助于显卡中图形处理器较强的运算能力,利用CUDA并行计算架构在PC机上实现了图像的动态降噪。此方法用软件实现,可大大提高处理速度,降低成本,易于修改。实验结果表明,该方法具有较好的实时性和去噪效果。
In accordance to the fact that real time processing is difficult to be implemented by using traditional noise reduction methods in industrial inspection, a dynamic noise reduction method based on Graphic Processing Unit （GPU） acceleration for infrared images is proposed. With the help of the strong computing ability of the GPU in a display card and the parallel computing architecture of a CUDA, the dynamic noise reduction for infrared images is implemented on a personal computer. This method is realized by using a software. It has the features of high processing speed, low cost and modifiableness. The experimental result shows that the method is excellent in real time processing ability and noise reduction.
出处
《红外》
CAS
2009年第3期22-25,共4页
Infrared
基金
国家自然科学基金(60532080)
关键词
图形处理器
动态降噪
实时处理
GPU（Graphic Processing Unit）
DNR（Dynamic Noise Reduction）
real-time processing
