Title :
Image fusion based on a sparse linear system
Author :
Xie, Q.W. ; Long, Q. ; Mita, Seiichi ; Liu, Zhe ; Chen, Xia
Author_Institution :
Toyota Technol. Inst. Nagoya, Nagoya, Japan
Abstract :
This paper proposes an image fusion algorithm based on a sparse linear equation system, which uses local extreme of high resolution image and intensity of multi-spectral image to construct the system. Based on this sparse system, the multi-scale image decomposition algorithm can be implemented. This algorithm extracts the details of the high-resolution image and integrates with the multi-spectral information to derive the fused image.
Keywords :
image fusion; image resolution; spectral analysis; fused image; high resolution image; high-resolution image; image fusion algorithm; multiscale image decomposition algorithm; multispectral image; multispectral information; sparse linear equation system; sparse linear system; Equations; Image decomposition; Image fusion; Integrated circuits; Spatial resolution; Wavelet transforms; Image Decomposition; Image Fusion; Multi-spectral Image; Mutual Information; Similar Scale;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738260
