摘要
提出了一种基于区域特性的NSCT多聚焦图像融合新算法。首先将待融合图像用NSCT分解成不同尺度,不同方向上的子带;然后对分解后的高频系数采用基于区域能量的方法进行融合,对低频系数采用基于区域方差的方法进行融合;最后将融合后的系数进行NSCT反变换得到融合后的图像。实验结果表明基于区域特性的NSCT图像融合方法优于其他传统方法,验证了算法的合理性。
A new multi-focus image fusion algorithm based on the combination of NSCT and regional characteristic is proposed.Firstly,decomposed each source image into highpass subbands and lowpass subbands by NSCT.Secondly,used different fusion rules in different subbands,where region energy rule was adopted in highpass subbands and region variance rule was adopted in lowpass sbbands.Finally,reconstructed the fused image by inverse transform of NSCT.The experimental results show that the performance of the proposed algorithm is better than that of the other traditional fusion algorithms,prove that the proposed algorithm is reasonable.
出处
《科学技术与工程》
2010年第29期7165-7170,共6页
Science Technology and Engineering
基金
广东省自然科学基金(9151064101000037)资助
