Image Fusion Method based on Non-Subsampled Contourlet Transform

2012 ◽  
Vol 7 (12) ◽  
Author(s):  
Hui Liu
Keyword(s):  
Image Fusion ◽  
Contourlet Transform ◽  
Fusion Method ◽  
Image Fusion Method

A Nonsubsampled Contourlet Transform Based Medical Image Fusion Method

2013 ◽  
Vol 12 (4) ◽  
pp. 749-755 ◽  
Author(s):  
Shen Yu ◽  
Ren Enen ◽  
Dang Jian-Wu ◽  
Wang Guo-Hua ◽  
Feng Xin
Keyword(s):  
Image Fusion ◽  
Medical Image ◽  
Contourlet Transform ◽  
Fusion Method ◽  
Nonsubsampled Contourlet Transform ◽  
Medical Image Fusion ◽  
Image Fusion Method

A novel multi-focus image fusion method using PCNN in nonsubsampled contourlet transform domain

Optik ◽  
2015 ◽  
Vol 126 (20) ◽  
pp. 2508-2511 ◽  
Author(s):  
Jingjing Wang ◽  
Qian Li ◽  
Zhenhong Jia ◽  
Nikola Kasabov ◽  
Jie Yang
Keyword(s):  
Image Fusion ◽  
Contourlet Transform ◽  
Transform Domain ◽  
Fusion Method ◽  
Nonsubsampled Contourlet Transform ◽  
Focus Image ◽  
Image Fusion Method

scholarly journals Image fusion method based on simultaneous sparse representation with non‐subsampled contourlet transform

2019 ◽  
Vol 13 (2) ◽  
pp. 240-248 ◽  
Author(s):  
Guiqing He ◽  
Siyuan Xing ◽  
Xingjian He ◽  
Jun Wang ◽  
Jianping Fan
Keyword(s):  
Image Fusion ◽  
Sparse Representation ◽  
Contourlet Transform ◽  
Fusion Method ◽  
Image Fusion Method

Contourlet Transform in the Application of the Image Fusion

2012 ◽  
Vol 239-240 ◽  
pp. 1432-1436
Author(s):  
Zhuan Zheng Zhao
Keyword(s):  
Image Fusion ◽  
Image Resolution ◽  
Contourlet Transform ◽  
Fusion Method ◽  
Fusion Algorithm ◽  
Fused Image ◽  
New Interpretation ◽  
Image Fusion Method

Image Fusion is integrating two or more sensors at the same time or at different times of image or videos equenece to generate a new interpretation of this scene. Its main purpose is increasing reliability or image resolution by redueing uncertainty through redundancy of different images.In this paper, a image fusion method based on contourlet transform is presented. The algorithm can fuse corresponding information in different resolutions and directions, which makes the fused image clearer and more abundant in details. Meanwhile, because of the fuzzy logic’s capacity of resolving uncertain problems, it overcomes the drawbacks of traditional fusion algorithm based on contourlet transform, and integrates as much information as possible into the fused image.

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