结合自适应滑窗和比率图像的改进Lee去噪算法  

Improved Lee denoising algorithm combining adaptive sliding window and ratio image

作　　者：赵志文 刘霖 王晓蓓 ZHAO Zhiwen;LIU Lin;WANG Xiaobei(Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院空天信息创新研究院,北京100094 [2]中国科学院大学电子电气与通信工程学院,北京100049

出　　处：《电子设计工程》2025年第6期187-191,共5页Electronic Design Engineering

摘　　要：合成孔径雷达(SAR)图像中存在大量相干斑噪声,噪声给后续的图像处理造成了很多困难。为应对这一问题,提出了一种基于自适应滑窗和比率图像滤波器的改进Lee去噪算法。自适应滑窗有助于准确获得局部统计信息,提升边缘保护和噪声平滑的性能。比率图像滤波器可以补偿前期滤波过程损失的边缘。对比其他常用算法,实验表明,算法在相干斑噪声抑制和边缘保护方面,展现出更佳的客观指标和视觉效果,证实了其在相干斑抑制的优越综合性能。In Synthetic Aperture Radar(SAR)images,there is a large amount of speckle noise.The speckle causes various difficulties in the subsequent SAR image processing.To address the issue,the paper has proposed an improved Lee algorithm based on adaptive sliding windows and ratio image filter.The adaptive sliding window makes the local statistics obtained from the image more accurate,improving the algorithm's performance in edge preservation and noise smoothing.The ratio image filter compensates for the loss of edges in the previous filtering process.Compared to other commonly utilized algorithms,experimental results demonstrate this algorithm exhibits superior objective metrics and visual performance in the suppression of speckle noise and preservation of edges.They confirm the superior overall performance of the algorithm in speckle suppression.

关 键 词：合成孔径雷达 相干斑 自适应滑窗 比率图像 Lee滤波 

分 类 号：TN957.52[电子电信—信号与信息处理]