Image fusion based on curvelet transform and fuzzy logic

For the fusion of multi-focus images, a new image fusion method for multi-focus images is presented based on fuzzy theory and wavelet transform. Firstly, the source images are decomposed by using curvelet transform. Secondly, the wavelet coefficients are fused with different rules. Fuzzy theory is used to fuse low frequency sub-band, which can adaptively calculate the wavelet coefficients weights of original images, while the high frequency sub-bands are merged with local energy maximum. Ultimately, the fusion image is obtained through an inversed curvelet transform. Entropy, standard deviation and space frequency are used as criterions, and the experimental results show that the fusion scheme can get a better fusion result and it is an effective method.