NDLI: Electrical Capacitance Tomography: A compressive sensing approach

Content Provider	IEEE Xplore Digital Library
Author	Hongcheng Wang Fedchenia, I. Shishkin, S. Finn, A. Smith, L. Colket, M.
Copyright Year	2012
Description	Author affiliation: United Technologies Research Center (UTRC), East Hartford, Connecticut, USA (Hongcheng Wang; Fedchenia, I.; Shishkin, S.; Finn, A.; Smith, L.; Colket, M.)
Abstract	We present a new image reconstruction method for Electrical Capacitance Tomography (ECT). ECT image reconstruction is generally ill-posed because the number of measurements is small whereas the image dimensions are large. Here, Compressive Sensing is used to provide better reconstruction from the small number of measurements. Given the sparsity of the signal (image), the idea is to apply an efficient and stable algorithm through L1 regularization to recover the sparse signal with sufficient measurements that have cardinality comparable to the sparsity of the signal. In this paper, we present Total Variation (TV) regularization for ECT image reconstruction, and apply an efficient Split-Bregman Iteration (SBI) approach to solve the problem. We propose a joint metric of positive re-construction rate (PRR) and false reconstruction rate (FRR) to evaluate image reconstruction performance. The results on both synthetic and real data show that the proposed TV-SBI method can better preserve the edges of images and better resolve different objects within reconstructed images, as compared to a representative state-of-the-art ECT image re-construction algorithm, Projected Landweber Iteration with Linear Back Projection initialization (LBP-PLI).
Starting Page	590
Ending Page	594
File Size	1753345
Page Count	5
File Format	PDF
ISBN	9781457717765
e-ISBN	9781457717758
DOI	10.1109/IST.2012.6295574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-16
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction TV Sensors Image resolution Permittivity measurement Electrical capacitance tomography Shape L1 Regularization Compressed Sensing Electrical Capacitance Tomography Total Variation
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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