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基于FPGA的图像自适应加权均值滤波设计 被引量:7

Self-adaption image weighted mean filter design based on FPGA
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摘要 针对CMOS图像传感器采集图像过程中的噪声预处理问题,提出一种在FPGA中实现的可配置的自适应加权均值滤波模块设计方案。该模块通过检测滤波窗口内不同方向的方差来确定纹理方向,从而自动生成相应的加权系数,可以对宽度不超过4 094像素的图像进行流水线式的加权均值滤波处理,达到去噪保边的目的。最后经过实验验证,当图像宽度为2 048时,输入输出延时仅为42.04μs,满足实时性要求,且滤波后的图像噪点明显减少,纹理边缘毛刺消失,能较好地改善图像质量。 In order to solve the problem of noise preprocessing in the process of image acquisition by complementary metal oxide semiconductor(CMOS) image sensor, a configurable adaptive weighted mean filter module in FPGA is proposed. This module determines the direction of the texture by detecting the variance of different directions in the filter window, thus automatically generating the corresponding weighting coefficients. The weighted mean filter can process image with a width of no more than 4 094 pixels, so as to achieve the goal of de-noising and preserving edges. Finally, the experiment shows that when the image width is 2 048, the delay is 42. 04 μs, and it satisfies the real-time requirement. The image noise is obviously reduced. The texture edge burr is disappearing, and the image quality can be improved better after filtering.
作者 武昊男 储成群 任勇峰 焦新泉 Wu Haonan;Chu Chengqun;Ren Yongfeng;Jiao Xinquan(Science and Technology on Electronic Test&Measurement Laboratory,North University of China,Taiyuan 030051,China)
出处 《电子技术应用》 2019年第3期32-35,41,共5页 Application of Electronic Technique
基金 国家自然科学基金(61727804)
关键词 FPGA CMOS图像传感器 均值滤波 固定噪声 逻辑设计 图像处理 FPGA CMOS image sensor mean filtering fixed noise logic design image processing
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  • 1关新平,赵立兴,唐英干.图像去噪混合滤波方法[J].中国图象图形学报(A辑),2005,10(3):332-337. 被引量:110
  • 2宋宇,李满天,孙立宁.基于相似度函数的图像椒盐噪声自适应滤除算法[J].自动化学报,2007,33(5):474-479. 被引量:42
  • 3[3]LEE C H,KUO Y U.Adaptive weighted fuzzy mean filter[C]//In:Proc IEEE-FUZZ'96,1996,3:2110.
  • 4Lin T C. A new adaptive center weighted median filter for sup pressing impulsive noise in images [ J ]. Information Sciences, 2007, 177(4): 1073-1087.
  • 5Li D L. Support vector regression based image denoising [J]. Im age and Vision Computing. 2009.27(6) : 623-627.
  • 6Silvia Bacchelli, Serena Papi. Image denoising using principal component analysis in the wavelet domain [ J]. Journal of Computational and Applied Mathematics, 2006, 189(2) : 606-621.
  • 7Zhou H, Mao K Z. An impulsive noise color image filter using learning-based color morphological operations [ J]. Digital Signal Processing, 2008, 18(3) : 406.421.
  • 8Gonzalez R C, Woods R E. Digital image processing [M]. Prentice-Hall, Englewood Cliffs, N J, 2002.
  • 9Kang J Y, Min L Q, Luan Q X, et al. Novel modified fuzzy cmeans algorithm with applications [J]. Digital Signal Processing, 2009, 19(2) : 309-319.
  • 10Wang S S, Wu C H. A new impulse detection and filtering method for removal of wide range impulse noises [ J ]. Pattern Recognition, 2009, 42(9) : 2194-2202.

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