Image fusion algorithm in Integrated Space-Ground-Sea Wireless Networks of B5G

• Published in: EURASIP journal on advances in signal processing Vol. 2021; no. 1; pp. 1 - 10
• Main Authors: Yu, Xiaobing, Cui, Yingliu, Wang, Xin, Zhang, Jinjin
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 31.07.2021; Springer; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Artificial neural networks; Computer vision; Engineering; Fast finite shear wave transform; Image fusion; Image processing; Image recognition; Integrated Space-Ground-Sea Wireless Networks for B5G; Medical imaging; Medical imaging equipment; Neural network; Neural networks; Object recognition; Quantum Information Technology; Shear; Signal,Image and Speech Processing; Space-Ground-Sea Wireless Networks; Spintronics; Telecommunication systems; Wireless communications; Wireless networks; Space-Ground-Sea Wireless Networks; Image recognition; Neural network; Fast finite shear wave transform; Image fusion
• ISSN: 1687-6180; 1687-6172; 1687-6180
• DOI: 10.1186/s13634-021-00771-1

In recent years, in Space-Ground-Sea Wireless Networks, the rapid development of image recognition also promotes the development of images fusion. For example, the content of a single-mode medical image is very single, and the fused image contains more image information, which provides a more reliable basis for diagnosis. However, in wireless communication and medical image processing, the image fusion effect is poor and the efficiency is low. To solve this problem, an image fusion algorithm based on fast finite shear wave transform and convolutional neural network is proposed for wireless communication in this paper. This algorithm adopts the methods such as fast finite shear wave transform (FFST), reducing the dimension of the convolution layer, and the inverse process of fast finite shear wave transform. The experimental results show that the algorithm has a very good effect in both objective indicators and subjective vision, and it is also very feasible in wireless communication.