红外, 2009, 30 (3): 22, 网络出版: 2010-05-26  

基于GPU加速的红外图像动态降噪技术

Dynamic Noise Reduction Technology Based on GPU Acceleration for Infrared Image
作者单位
中北大学 信息与通信工程学院,山西 太原 030051
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。
Abstract
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.

张娜, 王黎明, 刘宾. 基于GPU加速的红外图像动态降噪技术[J]. 红外, 2009, 30(3): 22. ZHANG Na, WANG Li-ming, LIU Bin. Dynamic Noise Reduction Technology Based on GPU Acceleration for Infrared Image[J]. INFRARED, 2009, 30(3): 22.

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