Title :
Fusion Algorithm for Infrared-Visual Image Sequences
Author :
Wang Xin ; Li Gaolue
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
A novel fusion algorithm for infrared and visible image sequences based on moving target detection is proposed. The target regions are detected from the infrared sequences using improved mixed inter-frame difference. Only the target regions of infrared and visible images are fused with the new proposed fusion rules of nonsubsampled Contourlet transform (NSCT). Then the fused target regions are combined with background regions of visible images. The experimental results show that the method is feasible and efficient, not only possesses good infrared target feature, but also keeps the same detail information of the visible image.
Keywords :
image fusion; image motion analysis; image sequences; object detection; transforms; video signal processing; image fusion algorithm; infrared-visual image sequence; mixed interframe difference; moving target detection; nonsubsampled contourlet transform; Filter banks; Image fusion; Image sequences; Real time systems; Wavelet transforms; NSCT; image sequence fusion; mixed frame difference; moving target detection;
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
DOI :
10.1109/ICIG.2011.30
