Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 6,
  • Issue 5,
  • pp. 338-341
  • (2008)

Region-based fusion of infrared and visible images using nonsubsampled contourlet transform

Not Accessible

Your library or personal account may give you access

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

PDF Article
More Like This
Salient object detection fusing global and local information based on nonsubsampled contourlet transform

Dongmei Liu, Faliang Chang, and Chunsheng Liu
J. Opt. Soc. Am. A 33(8) 1430-1441 (2016)

Optical nonsubsampled contourlet transform

Liang Han, Wen-li Zhang, Xiujuan Pu, Wanqi Cheng, and Xia Liu
Appl. Opt. 55(27) 7726-7734 (2016)

Infrared and visible image fusion using multiscale directional nonlocal means filter

Xiang Yan, Hanlin Qin, Jia Li, Huixin Zhou, Jing-guo Zong, and Qingjie Zeng
Appl. Opt. 54(13) 4299-4308 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved