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非局部均值图像降噪的嵌入式系统实现
引用本文:陈刚,钱振兴,王朔中. 非局部均值图像降噪的嵌入式系统实现[J]. 电视技术, 2013, 37(7): 1-3,25
作者姓名:陈刚  钱振兴  王朔中
作者单位:上海大学通信与信息工程学院,上海,200072
基金项目:国家自然科学基金资助项目(60832010, 61103181)、上海市教委创新基金资助项目(11YZ10)
摘    要:非局部均值滤波是一种有效的图像降噪技术,但常规实现方法计算复杂,对存储空间和CPU频率要求较高,不适合用于嵌入式系统。面向嵌入式系统简化非局部均值降噪算法,以很小的图像质量损失为代价大大降低了计算复杂度。在基于ARM11处理器和Windows CE的系统上实现了图像采集、简化非局部均值降噪、显示等功能,可以满足图像处理系统实时性和小型化需求,降噪效果良好。

关 键 词:降噪  非局部均值滤波  嵌入式系统  ARM
收稿时间:2012-08-17
修稿时间:2012-09-06

Implementation of Non-Local Means Image Denoising on Embedded System
ChenGang,Qian Zhenxing and Wang Shuozhong. Implementation of Non-Local Means Image Denoising on Embedded System[J]. Ideo Engineering, 2013, 37(7): 1-3,25
Authors:ChenGang  Qian Zhenxing  Wang Shuozhong
Affiliation:ShangHai University,ShangHai University,ShangHai University
Abstract:Non-local means filtering is an effective image denoising technique. However, conventional algorithms generally require large storage space and high clock rates, therefore unsuitable for the implementation on an embedded system. In this study, a simplified non-local means denoising algorithm is described, which significantly reduces computational complexity with very little loss of image quality. Image acquisition, non-local means denoising, and image display are implemented on an embedded system using the S3C6410 processor based on ARM 11 and Windows CE. Both real-time operation and miniaturization are realized. Experiments show satisfactory denoising performance of the system.
Keywords:denoising   non-local mean filtering   embedded system   ARM
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