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基于GPU加速的红外图像动态降噪技术
引用本文: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):22-25.
作者姓名:张娜  王黎明  刘宾
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.

关 键 词:图形处理器  动态降噪  实时处理
收稿时间:2008/10/24

Dynamic Noise Reduction Technology Based on GPU Acceleration for Infrared Image
ZHANG Na,WANG Li-ming,LIU Bin.Dynamic Noise Reduction Technology Based on GPU Acceleration for Infrared Image[J].Infrared,2009,30(3):22-25.
Authors:ZHANG Na  WANG Li-ming  LIU Bin
Affiliation:School of Information and Communication Engineering;North University of China;Taiyuan 030051;China
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...
Keywords:GPU(Graphic Processing Unit)  DNR(Dynamic Noise Reduction)  real-time processing
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