Airborne Infrared and Visible Image Fusion Combined with Region Segmentation

Sensors
Yujia ZuoMingchao Sun

Abstract

This paper proposes an infrared (IR) and visible image fusion method introducing region segmentation into the dual-tree complex wavelet transform (DTCWT) region. This method should effectively improve both the target indication and scene spectrum features of fusion images, and the target identification and tracking reliability of fusion system, on an airborne photoelectric platform. The method involves segmenting the region in an IR image by significance, and identifying the target region and the background region; then, fusing the low-frequency components in the DTCWT region according to the region segmentation result. For high-frequency components, the region weights need to be assigned by the information richness of region details to conduct fusion based on both weights and adaptive phases, and then introducing a shrinkage function to suppress noise; Finally, the fused low-frequency and high-frequency components are reconstructed to obtain the fusion image. The experimental results show that the proposed method can fully extract complementary information from the source images to obtain a fusion image with good target indication and rich information on scene details. They also give a fusion result superior to existing popula...Continue Reading

References

Dec 24, 2005·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Minh N Do, Martin Vetterli
Oct 7, 2006·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Arthur L da CunhaMinh N Do
Feb 5, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jean-Luc StarckDavid L Donoho
Feb 2, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Shutao LiJianwen Hu

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Methods Mentioned

BETA
PCA

Software Mentioned

GrabCut
Visual
Contourlet
Matlab

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