Abstract
An adaptive operator which can be used generally in image fusion algorithm of SAR/CCD images is proposed. The operator is gotten from the two source images' cross-entropy, and it can be used in popular image fusion algorithm to accomplish adaptivity. For traditional pyramid image fusion algorithm, the operator optimizes image fusion rules by effecting in each decomposed level, and for image fusion based on wavelet transform, the operator let algorithms achieve adaptivity by adjusting wavelet coefficients of the low-frequency sub-images' fusion and high-frequency sub-images' fusion. Experimental simulation is carried out to get the fuse effect by contrast each original algorithm with the algorithms using the adaptive operator. The results show that the image fusion algorithms improved by the adaptive operator have stable fuse effect and strong adaptability.
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