[1]REN Xiaoxia,SUN Xiuming,GENG Peng,et al.Multifocus image fusion using a recursive filter in the combined domain of multiwavelets and NSDFB[J].CAAI Transactions on Intelligent Systems,2016,11(2):241-248.[doi:10.11992/tis.201509017]
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Multifocus image fusion using a recursive filter in the combined domain of multiwavelets and NSDFB

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 11 Number of periods: 2016 2 Page number: 241-248 Column: 学术论文—智能系统 Public date: 2016-04-25
Title:
Multifocus image fusion using a recursive filter in the combined domain of multiwavelets and NSDFB
Author(s):
REN Xiaoxia1;  SUN Xiuming1;  GENG Peng2;  SU Xing2
1. Science department, Zhangjiakou University, Zhangjiakou 075000, China;
2. School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China
Keywords:
image processing; image fusion; recursive filter; modified spatial frequency; multiwavelett
CLC:
TP391
DOI:
10.11992/tis.201509017
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 method can select the focused regions while introducing few artifacts into the final merged image. Furthermore, its objective criteria, such as MI and QAB/F, are better than those of the other three methods.
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