文件名称:czf_blurcue
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In this paper, a multimodal image fusion algorithm based on multiresolution
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients by the dual-tree complex wavelet transform
(DTCWT). Then, the high-frequency coefficients are fused by the maximum selection
fusion rule. The low-frequency coefficients are fused by weighted average
method based on regions, and the weights are estimated by the PSO to gain
optimal fused images. Finally, the fused image is reconstructed by the inverse
DTCWT. The experiments demonstrate that the proposed image fusion method
can illustrate better performance than the methods based on the DTCWT, the
support value transform (SVT), and the nonsubsampled contourlet transform
(NSCT).
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients by the dual-tree complex wavelet transform
(DTCWT). Then, the high-frequency coefficients are fused by the maximum selection
fusion rule. The low-frequency coefficients are fused by weighted average
method based on regions, and the weights are estimated by the PSO to gain
optimal fused images. Finally, the fused image is reconstructed by the inverse
DTCWT. The experiments demonstrate that the proposed image fusion method
can illustrate better performance than the methods based on the DTCWT, the
support value transform (SVT), and the nonsubsampled contourlet transform
(NSCT).
相关搜索: contourlet
fusion
complex
contourlet
dtcwt
dual
tree
complex
Dual
tree
complex
wavelet
Wavelet
PSO
wavelet
based
contourlet
transform
pso
wavelet
pso
Fusion
of
High
-frequency
Coefficients
fusion
complex
contourlet
dtcwt
dual
tree
complex
Dual
tree
complex
wavelet
Wavelet
PSO
wavelet
based
contourlet
transform
pso
wavelet
pso
Fusion
of
High
-frequency
Coefficients
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下载文件列表
czf_blurcue
...........\biker.jpg
...........\initstft.m
...........\dostft.m
...........\compsni.m
...........\compski.m
...........\demo.m
...........\conv2r.m
...........\README
...........\invldmap.m
...........\pyk.m
...........\biker.jpg
...........\initstft.m
...........\dostft.m
...........\compsni.m
...........\compski.m
...........\demo.m
...........\conv2r.m
...........\README
...........\invldmap.m
...........\pyk.m