摘要

The frequency aliasing of the original contourlet transform was investigated, and a new multiscale decomposition scheme was designed to suppress the aliasing effect. Then, by the combination with directional filter banks, an aliasing-free contourlet transform (AFCT) was realized. Finally, a novel image fusion algorithm based on AFCT was proposed. By calculating the neighborhood homogeneity measurement (NHM), the transform coefficients can be fused local adaptively. Experimental results demonstrate that the proposed approach outperforms the traditional methods which are based on wavelet transform and contourlet transform in terms of visual quality and quantitative criterion.

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