Title
Iterative Method for Fusion of Infrared and Visible Images
Abstract
This paper proposes a novel fusion method for visible and infrared images. The infrared and visible samples are obtained by a sampling pattern such as star and spiral. Then, the samples are fused according to fusion rules. Finally, the proposed method is applied to fuse the infrared and visible samples. The proposed method is iterative and a significant advantage of it, besides its superior performance, is that it is faster than the previous compressive sensing based fusion methods. The simulation results confirm the success of the proposed method for fusion of infrared and visible images.
Year
DOI
Venue
2018
10.1109/ISTEL.2018.8661139
2018 9th International Symposium on Telecommunications (IST)
Keywords
Field
DocType
Fusion,infrared,visible,iterative method,low rank decomposition
Computer vision,Spiral,Iterative method,Computer science,Fusion,Fusion rules,Artificial intelligence,Sampling (statistics),Infrared,Fuse (electrical),Compressed sensing
Conference
ISBN
Citations 
PageRank 
978-1-5386-8274-6
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Hojatollah Zamani1203.43
Nematollah Zarmehi283.66
Farokh Marvasti357372.71