应用均值滤波的舰船红外图像规整化复原算法  

The regularization and restoration algorithm of ship infrared image using mean filtering

作　　者：秦娟英 QIN Juan-ying(Xi'an Traffic Engineering Institute,Xi'an 710300,China)

机构地区：[1]西安交通工程学院,陕西西安710300

出　　处：《舰船科学技术》2023年第13期182-185,共4页Ship Science and Technology

摘　　要：针对红外传感器采集舰船红外图像时,容易受到信号污染,导致输出图像质量过低的问题,研究应用均值滤波的舰船红外图像规整化复原算法。利用非局部均值滤波方法,计算舰船红外图像邻域块的相似性,依据相似性计算结果构造加权系数,对舰船红外图像实施加权平均处理,输出舰船红外图像均值滤波结果。将基于可变系数滤波器的图像复原算法应用于均值滤波后的舰船红外图像中,构建规整化惩罚项加入复原算法的代价函数中,利用交替迭代估计策略,输出舰船红外图像的规整化复原结果。实验结果表明,该算法可以实现舰船红外图像的规整化复原,复原处理后的舰船红外图像的信息熵均高于7,复原效果理想。In order to solve the problem that infrared sensors are prone to signal pollution when collecting infrared images of ships,which leads to low output image quality,the regularization and restoration algorithm of ship infrared images using mean filter is studied.Using the method of non-local mean filtering,the similarity of neighborhood blocks of ship infrared images is calculated,weighted coefficients are constructed according to the similarity calculation results,weighted average processing is performed on ship infrared images,and the mean filtering results are output.The image restoration algorithm based on variable coefficient filter is applied to the ship infrared image after mean filtering,and the normalization penalty term is constructed and added to the cost function of the restoration algorithm.The experimental results show that this algorithm can realize the regularization restoration of ship infrared images,and the information entropy of ship infrared images after restoration is higher than 7,and the restoration effect is ideal.

关 键 词：均值滤波 舰船红外图像 规整化 复原算法 滤波器 约束惩罚项 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]