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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 5, Iss. 5 — May. 10, 2007
  • pp: 274–277

Feature-based fusion of infrared and visible dynamic images using target detection

Congyi Liu, Zhongliang Jing, Gang Xiao, and Bo Yang  »View Author Affiliations


Chinese Optics Letters, Vol. 5, Issue 5, pp. 274-277 (2007)


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Abstract

We employ the target detection to improve the performance of the feature-based fusion of infrared and visible dynamic images, which forms a novel fusion scheme. First, the target detection is used to segment the source image sequences into target and background regions. Then, the dual-tree complex wavelet transform (DT-CWT) is proposed to decompose all the source image sequences. Different fusion rules are applied respectively in target and background regions to preserve the target information as much as possible. Real world infrared and visible image sequences are used to validate the performance of the proposed novel scheme. Compared with the previous fusion approaches of image sequences, the improvements of shift invariance, temporal stability and consistency, and computation cost are all ensured.

© 2007 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2980) Image processing : Image enhancement
(100.7410) Image processing : Wavelets
(110.3080) Imaging systems : Infrared imaging

Citation
Congyi Liu, Zhongliang Jing, Gang Xiao, and Bo Yang, "Feature-based fusion of infrared and visible dynamic images using target detection," Chin. Opt. Lett. 5, 274-277 (2007)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-5-5-274


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