抗混叠轮廓波变换及其在图像融合中的应用

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.

ALIASING-FREE CONTOURLET TRANSFORM AND ITS APPLICATION IN IMAGE FUSION

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.