Aiming at the characteristics of low visible light images and infrared images, a novel adaptive image fusion scheme based on DT-CWTwas presented. The technique has good shift-invariance and directional selectivity, and ismore suitable for human vision. The DT-CWTwas firstly used to perform amultiresolution decomposition of source images. By taking advantage of the characters of the coefficients, the immune clonal selection algorithm was introduced in low-pass sub- bands and almost optimal fused weightswere obtained adaptively. To high-pass subbands, the local directive contrastwas defined, whichwas based on human visual system. And then the contrastof fused imageswas enhanced and the detail in- formation of source imageswas protected. The experimental results show thatour fused technique is effective and the fusedimages have a better visual quality than theirwavelet counterparts.

ADAPTIVE IMAGE FUSION ALGORITHM FOR INFRARED AND VISIBLE LIGHT IMAGES BASED ON DT-CWT\基于DT_CWT的红外与可见光图像自适应融合.caj
ADAPTIVE IMAGE FUSION ALGORITHM FOR INFRARED AND VISIBLE LIGHT IMAGES BASED ON DT-CWT

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