基于剪切波变换和脉冲耦合神经网络的图像融合方法研究  

Research on image fusion method based on shear wave transform ation and pulse coupled neural network

作　　者：李春林 李晓峰[1] 任宏[1] LI Chunlin;LI Xiaofeng;REN Hong(Xuanhua Vocational College of Science&Technology,Zhangjiakou,Hebei 075100,China)

机构地区：[1]宣化科技职业学院,河北张家口075100

出　　处：《计算机应用文摘》2024年第9期133-135,共3页Chinese Journal of Computer Application

摘　　要：图像融合的目的是将多个来源的图像合并,从而产生1个包含所有原始图像信息的新图像。传统的图像融合方法可能损失一些重要信息或导致图像失真,因此研究新的图像融合方法具有重要意义。作为新兴技术,剪切波变换和脉冲耦合神经网络在图像融合中的应用潜力尚未被充分发掘。文章致力于研究这2种技术在图像融合中的效果,并提出结合两者的新方法。The purpose of image fusion is to merge images from multiple sources to produce a new image that contains all the original image information.Traditional image fusion methods may lose some important information or cause image distortion,so researching new image fusion methods is of great significance.As emerging technologies,the potential applications of shear wave transformation and pulse coupled neural networks in image fusion have not been fully explored.The article aims to study the effectiveness of these two technologies in image fusion and propose a new method that combines the two.

关 键 词：剪切波变换 脉冲耦合神经网络 图像融合 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]