非下采样离散小波变换多聚焦图像融合  

Multi-focus Image Fusion Based on Non-subsampled Discrete Wavelet Transform

作　　者：郭凌鑫 袁丽英[1] 王飞越 GUO Ling-xin;YUAN Li-ying;WANG Fei-yue(School of Automation,Harbin University of Science and Technology,Harbin 150080,China)

机构地区：[1]哈尔滨理工大学自动化学院,黑龙江哈尔滨150080

出　　处：《哈尔滨理工大学学报》2018年第2期18-22,共5页Journal of Harbin University of Science and Technology

基　　金：黑龙江省自然科学基金(F201242)

摘　　要：图像融合在军事、医疗等领域有广泛的应用,图像融合技术是指采用特定的算法将两幅或者多幅图像融合成为一幅新的图像。针对离散小波变换图像融合算法中下采样环节在每次滤波后一半的系数被丢弃导致缺乏平移不变性,使得融合算法易受到源图像误配准影响的问题,提出了一种基于非下采样离散小波变换的图像融合算法,采用窗口融合规则,并对融合系数进行一致性检测,弥补下采样环节的不足,提高融合效果。通过对基于离散小波变换和基于非下采样离散小波算法的图像多聚焦融合仿真研究表明,非下采样离散小波变换算法具有平移不变性,而且具有较高融合图像互信息和峰值信噪比,融合效果优于离散小波变换图像融合算法。Image fusion is widely used in military,medical and other fields.Image fusion technology is to use a specific algorithm to synthesize two or more images into a new image.Because of down sampling link of discrete wavelet transform image fusion algorithm,half of the coefficients are discarded,resulting in the lack of translation invariance.It makes the fusion algorithm easily affected by the error of source image registration.Due to these shortcomings,an image fusion algorithm based on non-sampling discrete wavelet transform is proposed and window fusion rule is also applied.The coefficient consistency detection makes up for the lack of sampling link and improve the fusion effect.Through discrete wavelet transform and non-sampling discrete wavelet algorithm are applied to image fusion respectively.Non-sampled discrete wavelet transform algorithm has translation invariance and it has high mutual information and peak signal to noise ratio of fusion image.Non-sampled discrete wavelet transform algorithm fusion effect is better than discrete wavelet transform image fusion algorithm.

关 键 词：图像融合 离散小波变换 非下采样离散小波变换 

分 类 号：TN911.73[电子电信—通信与信息系统]