NDLI: Electrical capacitance tomography image reconstruction by improved orthogonal matching pursuit algorithm

Content Provider	IET Digital Library
Author	Yan, Hua Wang, Yan Wang, Yi Fan Zhou, Ying Gang
Abstract	In order to improve the quality of reconstructed images in electrical capacitance tomography (ECT), the image reconstruction method based on compressed sensing for ECT is studied. First, the traditional discrete Fourier transform and discrete cosine transform are used as a sparsity basis to make the grey vectors of the typical two-phase flow distributions sparse. The energy loss of the sparse signals under different sparsity degrees is calculated, and the effect of energy loss on the quality of reconstructed images is studied. Then, using the natural sparsity of the original signal, an improved orthogonal matching pursuit algorithm for ECT image reconstruction is proposed. There are two main improvements in the proposed algorithm. First, multiple columns instead of one column in each iteration are selected for improving the reconstruction speed. Second, a regularisation solution instead of the least-squares solution is used for improving the adaptability to ill-posed inverse problems. Simulation and experimental tests are carried out and the results show that the proposed method can effectively improve the reconstructed images quality, and on the whole, obtain better reconstruction results than the Landweber iteration algorithm, the Tikhonov regularisation algorithm, and the gradient projection for sparse reconstruction algorithm.
Starting Page	367
Ending Page	375
Page Count	9
ISSN	17518822
Volume Number	14
e-ISSN	17518830
Issue Number	Issue 3, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-smt/14/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-smt.2019.0255
Journal	IET Science, Measurement & Technology
Publisher Date	2020-01-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Compressed Sensing Computer Vision And Image Processing Technique Cosine Transform Different Sparsity Degrees Discrete Cosine Transform Discrete Fourier Transform ECT Image Reconstruction Electrical Capacitance Tomography Image Reconstruction Energy Loss Image Reconstruction Image Reconstruction Method Improved Orthogonal Matching Pursuit Algorithm Interpolation And Function Approximation Inverse Problem Iterative Method Landweber Iteration Algorithm Main Improvements Natural Sparsity Numerical Analysis Optical, Image And Video Signal Processing Reconstructed Image Quality Reconstruction Speed Sparse Reconstruction Algorithm Sparse Signal Sparsity Basis Tikhonov Regularisation Algorithm Tomography Traditional Discrete Fourier Two-phase Flow Two-phase Flow Distribution
Content Type	Text
Resource Type	Article
Subject	Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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