小波分解和重构的光学可变图像融合研究  

Research on optical variable image fusion based on wavelet decomposition and reconstruction

作　　者：彭仁杰[1] 姚云霞[1] PENG Renjie;YAO Yunxia(School of Information Engineering,Longdong University,Qingyang Gansu 745000,China)

机构地区：[1]陇东学院信息工程学院,甘肃庆阳745000

出　　处：《激光杂志》2021年第3期145-148,共4页Laser Journal

基　　金：甘肃省教育厅(No.2019B-151)。

摘　　要：针对传统光学可变图像融合方法存在的融合效果差、噪声干扰严重等问题,提出小波分解和重构的光学可变图像融合方法。分析光学可变图像在不同区域的融合原理,获取光学可变图像的特征;采用小波变化的方法,对光学可变图像进行多尺度分解,提取不同频率的小波系数;采用小波阈值降噪方式,对光学可变图像进行降噪处理;通过融合准则选取融合子图像数据,利用小波逆变化融合图像,实现多幅光学可变图像的融合。实验结果表明,采用所提方法进行光学可变图像融合后,获得的光学可变图像边缘更加清晰,且图像信噪比更高。Aiming at the problems of low fusion effect and serious noise interference existing in the traditional optical variable image fusion method,an optically variable image fusion method based on wavelet decomposition and reconstruction is proposed.Analyse the optically variable image's fusion principle in different areas to obtain the characteristics of the optically variable image.Adopting the method of wavelet change to decompose the optically variable image in multi-scale and extract the wavelet coefficients of different frequencies.Adopting the wavelet threshold noise reduction method to reduce the noise of the optical variable image;select the fusion sub-image data through the fusion criteria and use the wavelet inverse change.The fusion image can realise the fusion of multiple optical variables images.The experimental results show that the optically variable image's edge is more precise and the SNR of the image is higher.

关 键 词：光学可变图像 小波分解 小波重构 图像融合 

分 类 号：TN391[电子电信—物理电子学]