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International Society for Industrial Process Tomography

7th World Congress on Industrial Process Tomography

EIT image reconstruction using compressive sensing and discrete wavelet transform

M.B. Salahshoor, M. Nahvi, B. Zanj

DSP Research lab, Department of Electrical and Electronic Engineering, University of Guilan, Rasht, Iran


Electrical impedance tomography (EIT) has been the focus of many researches in recent years and had significant progress in medical and industrial problems. The images in EIT are partly sparse. Using this specification, it may possible to exploit the advantages of compressive sensing (CS) in EIT reconstruction. The CS technique is a sampling method based on the sparsity. Using CS theory sparse signals and images can be reconstructed from incomplete information which is assumed to be unreconstructable by other methods. To enhance the sparsity of EIT images this paper suggests an approach based on utilising wavelet basis. The simulation demonstrates that CS reconstruction algorithm based on wavelet gives promising results.

Keywords: Comoressive Sensing(CS), Electrical Impedance Tomography(EIT), Discrete Wavelet Transform(DWT), Image reconstruction, CS reconstruction

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