Region-based fusion of infrared and visible images using nonsubsampled contourlet transform
Chinese Optics Letters, Vol. 6, Issue 5, pp. 338-341 (2008)
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Abstract
With the nonsubsampled contourlet transform (NSCT), a novel region-segmentation-based fusion algorithm for infrared (IR) and visible images is presented. The IR image is segmented according to the physical features of the target. The source images are decomposed by the NSCT, and then, different fusion rules for the target regions and the background regions are employed to merge the NSCT coefficients respectively. Finally, the fused image is obtained by applying the inverse NSCT. Experimental results show that the proposed algorithm outperforms the pixel-based methods, including the traditional wavelet-based method and NSCT-based method.
© 2008 Chinese Optics Letters
OCIS Codes
(100.0100) Image processing : Image processing
(110.3080) Imaging systems : Infrared imaging
(350.2660) Other areas of optics : Fusion
Citation
Baolong Guo, Qiang Zhang, and Ye Hou, "Region-based fusion of infrared and visible images using nonsubsampled contourlet transform," Chin. Opt. Lett. 6, 338-341 (2008)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-6-5-338
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