Image fusion based on nonsubsampled Contourlet transform and evaluation
非下采样Contourlet变换的图像融合及评价

This paper introduced the characteristics of nonsubsampled Contourlet transform (NSCT), as well as its advantages in image transformation. NSCT was built upon nonsubsampled pyramids and nonsubsampled directional filter banks and it was a flexible multiscale, directional multiresolution and shift-unvariant image transform.Proposed a novel image fusion algorithm based on NSCT. Firstly, decomposed each source image in highpass subbands and lowpass subbands by NSCT. Secondly,used different fusion rules in different subbands, where local gradient preferential image fusion rule was adopted in highpass subbands and local energy preferential image fusion rule was adopted in lowpass subbandds. Finally, reconstructed the fused image by taking inverse transform of NSCT. The experimental results show that the performance of the novel algorithm is better than the traditional fusion algorithms based on wavelet transformation, and especially, the novel fusion algorithm can effectively eliminate the spectrum warping and the artificial edges caused by wavelet transform.