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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6001698