研究了原始轮廓波变换的频谱混叠问题, 设计出能抑制混叠的多尺度分解方案, 结合方向滤波器组, 实现了 一种抗混叠的轮廓波变换.在此基础上, 提出了新颖的基于抗混叠轮廓波变换的图像融合算法.该算法通过邻域一 致性测度的计算, 实现了变换系数的局部自适应融合.实验结果表明, 所提出的方法在视觉质量及定量指标上都优 于基于小波变换和轮廓波变换的传统方法.

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 cal- culating the neighborhood homogeneity measurement (NHM), the transform coefficients can be fused local adaptively. Ex- perimental 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.