CAJ | 학술논문

方向波(Directionlet)变换是一种基于格子的歪斜小波变换,与标准二维小波变换相比,它具有多方向性和各向异性,能够更好地描述图像的特征.针对异源图像融合这一研究热点,提出了一种新的基于方向波变换的图像融合方法,并采用提升算法有效地解决了该变换方法的运算速度问题.首先,对已配准的两幅图像分别沿变换和队列方向进行次数不等的提升变换,得到具有各向异性的子图;然后,采用低频子图直接平均融合,高频部分选择具有较强各向异性信息分量的方法得到融合图像的所有方向波变换系数;最后,经过反变换得到融合图像.实验结果表明:该算法的融合效果和运算速度都优于标准小波变换和其他的二代小波变换.
방향파(Directionlet)변환시일충기우격자적왜사소파변환,여표준이유소파변환상비,타구유다방향성화각향이성,능구경호지묘술도상적특정.침대이원도상융합저일연구열점,제출료일충신적기우방향파변환적도상융합방법,병채용제승산법유효지해결료해변환방법적운산속도문제.수선,대이배준적량폭도상분별연변환화대렬방향진행차수불등적제승변환,득도구유각향이성적자도;연후,채용저빈자도직접평균융합,고빈부분선택구유교강각향이성신식분량적방법득도융합도상적소유방향파변환계수;최후,경과반변환득도융합도상.실험결과표명:해산법적융합효과화운산속도도우우표준소파변환화기타적이대소파변환.
Directionlet transsform is a lattice-based skewed discrete wavelet transform.It has advantages of multi-directional and anisotropy compared with standard two-dimensional wavelet transform,thus,it is better at describing the characteristics of images.For the research focus of different-source image fusion,a novel fusion algorithm based on Directionlet transform was proposed,and the fusion speed was improved efficiently by combing the transform with a lifting scheme.Firstly,between transform direction and alignment direction,two registered source images were decomposed by using lifting Directionlet transform respectively in different times,thus anisotropic sub images were obtained.Then,the low frequency components were combined averagely and the selection principle of high frequency sub images were based on which has stronger anisotropic edge information.Finally,the fused image was obtained by using inverse Directionlet transform.Experimental results show that the fusion effect and speed are both better than standard wavelet transform and other second generation wavelet transform.