Fusion of infrared and visible images combined with NSDTCT and sparse representation

2016 ◽  
Vol 24 (7) ◽  
pp. 1763-1771 ◽  
Author(s):  
殷 明 YIN Ming ◽  
段普宏 DUAN Pu-hong ◽  
褚 标 CHU Biao ◽  
梁翔宇 LIANG Xiang-yu
Keyword(s):  
Sparse Representation ◽  
Visible Images

Infrared and visible image fusion using dual-tree complex wavelet transform and convolutional sparse representation

2020 ◽  
Vol 39 (3) ◽  
pp. 4617-4629
Author(s):  
Chengrui Gao ◽  
Feiqiang Liu ◽  
Hua Yan
Keyword(s):  
Wavelet Transform ◽  
Image Fusion ◽  
Sparse Representation ◽  
High Frequency ◽  
Low Frequency ◽  
Infrared Images ◽  
Complex Wavelet Transform ◽  
Visible Image ◽  
Visible Images ◽  
Complex Wavelet

Infrared and visible image fusion refers to the technology that merges the visual details of visible images and thermal feature information of infrared images; it has been extensively adopted in numerous image processing fields. In this study, a dual-tree complex wavelet transform (DTCWT) and convolutional sparse representation (CSR)-based image fusion method was proposed. In the proposed method, the infrared images and visible images were first decomposed by dual-tree complex wavelet transform to characterize their high-frequency bands and low-frequency band. Subsequently, the high-frequency bands were enhanced by guided filtering (GF), while the low-frequency band was merged through convolutional sparse representation and choose-max strategy. Lastly, the fused images were reconstructed by inverse DTCWT. In the experiment, the objective and subjective comparisons with other typical methods proved the advantage of the proposed method. To be specific, the results achieved using the proposed method were more consistent with the human vision system and contained more texture detail information.

Fusion method for infrared and visible images by using non-negative sparse representation

2014 ◽  
Vol 67 ◽  
pp. 477-489 ◽  
Author(s):  
Jun Wang ◽  
Jinye Peng ◽  
Xiaoyi Feng ◽  
Guiqing He ◽  
Jianping Fan
Keyword(s):  
Sparse Representation ◽  
Fusion Method ◽  
Visible Images

Infrared and visible images fusion by using sparse representation and guided filter

2019 ◽  
Vol 24 (3) ◽  
pp. 254-263
Author(s):  
Qilei Li ◽  
Wei Wu ◽  
Lu Lu ◽  
Zuoyong Li ◽  
Awais Ahmad ◽  
...  
Keyword(s):  
Sparse Representation ◽  
Guided Filter ◽  
Visible Images

Method based on bitonic filtering decomposition and sparse representation for fusion of infrared and visible images

2018 ◽  
Vol 12 (12) ◽  
pp. 2300-2310 ◽  
Author(s):  
Changda Xing ◽  
Zhisheng Wang ◽  
Quan Ouyang ◽  
Chong Dong
Keyword(s):  
Sparse Representation ◽  
Visible Images
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