摘要
为了适应图像细节结构特征的变化,降低了散斑抑制结果的等效视数。为提出非局部均值滤波下模糊激光图像散斑抑制方法。根据激光光强从整体上分析散斑噪声的特性。引入非局部均值滤波算法将图像中的乘性散斑噪声转变为加性噪声;根据非局部均值的估计值对相似像素块的像素值使用加权平均处理来减少噪声,将非局部均值滤波算法与皮尔逊相关系数结合评估图像像素全局相似度,通过调整权重以避免细节丢失并提高边缘信息保持度,在抑制散斑的同时保留图像结构特征;逆变换处理后的对数图像,恢复原始信息,从实验可以看出,所提方法在显著提升激光图像质量,峰值信噪比高达47,等效视数在9上下均衡波动。
In order to adapt to the changes in image detail structure features,the equivalent view count of speckle suppression results has been reduced.To propose a speckle suppression method for fuzzy laser images under non local mean filtering.Analyze the characteristics of speckle noise as a whole based on the laser intensity.Introducing non local mean filtering algorithm to transform multiplicative speckle noise in images into additive noise;Using weighted average processing on pixel values of similar pixel blocks based on non local mean estimation to reduce noise,combining non local mean filtering algorithm with Pearson correlation coefficient to evaluate global similarity of image pixels,adjusting weights to avoid detail loss and improve edge information preservation,while suppressing speckle and preserving image structural features;The logarithmic image processed by inverse transformation restores the original information.From the experiment,it can be seen that the proposed method significantly improves the quality of laser images,with a peak signal-to-noise ratio of up to 47 and an equivalent view fluctuating evenly around 9.
作者
李景景
魏彦飞
孙滨
LI Jingjing;WEI Yanfei;SUN Bin(School of Information Engineering,Zhengzhou Institute of Industrial Application Technology,Zhengzhou 451100,China)
出处
《激光杂志》
北大核心
2025年第12期175-180,共6页
Laser Journal
基金
河南省科技攻关项目(No.242102210101)
教育部协同育人项目(No.231007677145427)。
关键词
激光图像
散斑抑制
非局部均值滤波
图像增强
高斯加权
皮尔逊相关系数
laser image
speckle suppression
non local mean filtering
image enhancement
gaussian weighting
pearson correlation coefficient
