Remote Sensing Image Fusion Based on M-band Dual-tree Wavelet Transform

The paper proposes a new fusion method of visible and near infrared remote sensing images based on the multidirectional and multiscale M-band dual-tree wavelet transform(DTWT). The M-band DTWT decomposition is performed on each source image, then the high-frequency subband fusion coefficients are calculated by synthesizing modulus maxima selection and weighted average based on local coefficient matching, and average rule is adopted for low-frequency coefficients fusion. Experiment results show the proposed fusion method outperforms other typical ones, no matter in visual observation and objective evaluation criterion.