Fast Electromagnetic Tomography Image Reconstruction Algorithm Based on Dimension Reduction Technique

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiwei Huo ◽  
Ze Liu ◽  
Yadong Wang ◽  
Wei Yuan ◽  
Chengfei Wang
Keyword(s):  
Image Reconstruction ◽  
Dimension Reduction ◽  
Reconstruction Algorithm ◽  
Reduction Technique ◽  
Image Reconstruction Algorithm ◽  
Electromagnetic Tomography ◽  
Tomography Image

scholarly journals A Superresolution Image Reconstruction Algorithm Based on Landweber in Electrical Capacitance Tomography

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Chen Deyun ◽  
Li Zhiqiang ◽  
Gao Ming ◽  
Wang Lili ◽  
Yu Xiaoyang
Keyword(s):  
Image Reconstruction ◽  
Reconstruction Algorithm ◽  
Electrical Capacitance Tomography ◽  
Electrical Capacitance ◽  
Image Reconstruction Algorithm ◽  
Tomography System ◽  
Tomography Image ◽  
Working Principle ◽  
The Stability ◽  
Capacitance Tomography

According to the image reconstruction accuracy influenced by the “soft field” nature and ill-conditioned problems in electrical capacitance tomography, a superresolution image reconstruction algorithm based on Landweber is proposed in the paper, which is based on the working principle of the electrical capacitance tomography system. The method uses the algorithm which is derived by regularization of solutions derived and derives closed solution by fast Fourier transform of the convolution kernel. So, it ensures the certainty of the solution and improves the stability and quality of image reconstruction results. Simulation results show that the imaging precision and real-time imaging of the algorithm are better than Landweber algorithm, and this algorithm proposes a new method for the electrical capacitance tomography image reconstruction algorithm.

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