智能系统学报2016，Vol.11Issue(2)：241-248,8.DOI:10.11992/tis.201509017
多小波和NSDFB组合域递归滤波多聚焦图像融合
Multifocus image fusion using a recursive filter in the combined domain of multiwavelets and NSDFB
摘要
Abstract
The multiwavelet transform has properties of orthogonality, tight frame, and symmetry, which are vital to signal processing. In this study, a new transform, called as MNSDFB, is proposed by combining the multi⁃wavelet and nonsubsampled directional filter banks. The domain transform recursive filter is adopted to fuse the filters after the spatial frequency of the high frequency coefficient is calculated. The modified sum⁃modified⁃Laplacian ( SML) is employed in the low pass subbands as a focus measurement to select fused coefficients. The presented fusion rule in the high pass subband can distinguish the focused regions from the blurred regions. The proposed fusion method was compared with three other fusion methods. The experimental results demonstrate that the proposed fusion meth⁃od can select the focused regions while introducing few artifacts into the final merged image. Furthermore, its objec⁃tive criteria, such as MI and QAB/F, are better than those of the other three methods.关键词
图像处理/图像融合/递归滤波/改进空间频率/多小波Key words
image processing/image fusion/recursive filter/modified spatial frequency/multiwavelett分类
信息技术与安全科学引用本文复制引用
任晓霞,孙秀明,耿鹏,苏醒..多小波和NSDFB组合域递归滤波多聚焦图像融合[J].智能系统学报,2016,11(2):241-248,8.基金项目
河北省自然科学基金项目（ F2013210094， F2013210109）． （）
