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作 者:陈华旺[1] CHEN Hua-wang(Huazhong Institute of Science and Technology_Wuhan National Lab for Optoelectronics,Wuhan 430223,China)
机构地区:[1]华中光电技术研究所—武汉光电国家研究中心,湖北武汉430223
出 处:《光学与光电技术》2021年第4期69-72,共4页Optics & Optoelectronic Technology
摘 要:针对红外图像中的物体边缘信息特点和噪声特点,提出一种基于统计排序的双向次序滤波算法,在去噪、保持图像边缘信息及小目标之间找到最佳的平衡点。给出了该算法的FPGA快速实现方法,开发的双向次序滤波FPGA IP模块已应用于多款红外产品中,能有效滤除红外图像中的椒盐类噪声,减轻非均匀性校正后的固定残差和信号处理电路的电子噪声,应用结果表明提出的算法滤波除噪能力强,图像细节损失少,设计的FPGA IP模块延时少,时序性能稳定。According to the characteristics of object edge information and noise in infrared image,a bidirectional order filtering algorithm based on statistical sorting is proposed to find the best balance between denoising and keeping image edge information and small target. The FPGA IP module of bidirectional sequential filtering has been widely used in infrared products. It can effectively filter the salt and pepper noise in infrared images,reduce the fixed residual after nonuniformity correction and the electronic noise of signal processing circuit. The application results show that the proposed algorithm has strong filtering ability and less loss of image details,The designed FPGA IP module has less delay and stable timing performance.
关 键 词:红外图像 统计排序 双向次序滤波 IP模块 时序性能
分 类 号:TN215[电子电信—物理电子学]
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