文件名称:Fusion_old
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A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.-A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.-A novel higher order singular value decomposition (HOSVD)-
based image fusion algorithm is proposed. The key points are given as follows:
1) Since image fusion depends on local information of source images,
the proposed algorithm picks out informative image patches of source images
to constitute the fused image by processing the divided subtensors
rather than the whole tensor 2) the sum of absolute values of the coefficients
(SAVC) from HOSVD of subtensors is employed for activity-level
measurement to evaluate the quality of the related image patch and 3) a
novel sigmoid-function-like coefficient-combining scheme is applied to construct
the fused result. Experimental results show that the proposed algorithm
is an alternative image fusion approach.
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下载文件列表
Fusion_old\crve.jpg
..........\curve.jpg
..........\dwt_dct.m
..........\FuseImages.m
..........\mri1.jpg
..........\mri2.jpg
..........\wav1e.jpg
..........\wave.jpg
Fusion_old