CAJ | 학술논문

图像融合的目的是把来自多传感器数据的互补信息合并形成一幅新的图像，以便更好地进行监视和侦察之类的视觉感知。文中介绍了小波变换及其Mallat快速算法，提出了基于小波变换的图像融合方法，并分析了可见光与红外图像的融合结果。结果表明，小波变换融合图像包含了所有传感器的相关信息，其性能优于高斯-拉普拉斯金字塔结构算法。这一原理也可以应用到两幅以上的图像上，无论这些图像是否在同一光谱波段内。
도상융합적목적시파래자다전감기수거적호보신식합병형성일폭신적도상，이편경호지진행감시화정찰지류적시각감지。문중개소료소파변환급기Mallat쾌속산법，제출료기우소파변환적도상융합방법，병분석료가견광여홍외도상적융합결과。결과표명，소파변환융합도상포함료소유전감기적상관신식，기성능우우고사-랍보랍사금자탑결구산법。저일원리야가이응용도량폭이상적도상상，무론저사도상시부재동일광보파단내。
The purpose of image fusion is to merge complementary information from multisensor data for visual perception, such as surveillance and reconnaissance. The wavelet transform and Mallat fast algorithm are introduced, an image fusion scheme based on the wavelet transform is proposed and the fused image with visible and infrared image is analyzed in this paper. The result shows that the fused image of the wavelet transform includes all relevant information about sensors, the scheme performs better than the Gaussian-Laplacian pyramid-based algorithm. The principle can be used for two images or more, whether the images are in the same spectral band or not.