DocumentCode
3022253
Title
Image fusion based on nonlinear structure tensor
Author
Wang, Yukun ; Lu, Bibo ; Miao, Chunli
Author_Institution
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
fYear
2011
fDate
26-28 July 2011
Firstpage
6390
Lastpage
6393
Abstract
A novel image fusion method based on nonlinear structure tensor is proposed within the wavelet framework. Local geometric information in detail wavelet sub-band is extracted and recognized by structure tensor. A nonlinear TV flow is applied to structure tensor element before calculating the eigenvalue and eigenvector. The source data with larger eigenvalue indicates the direction with more features. An adaptive weight function is constructed to obtain new detail coefficients for the reconstruction of the fused image. Experimental results are given to demonstrate the performance of the new method.
Keywords
image fusion; image reconstruction; tensors; wavelet transforms; adaptive weight function; eigenvalue; eigenvector; image fusion method; image reconstrcution; local geometric information; nonlinear TV flow; nonlinear structure tensor; wavelet framework; Eigenvalues and eigenfunctions; Frequency measurement; Image fusion; TV; Tensile stress; Wavelet transforms; image fusion; structure tensor; total variation; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6001698
Filename
6001698
Link To Document