Compressive sensing image reconstruction with total variation and l2,1 norm for microwave imaging

Icha Fatwasauri, Mia Rizkinia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Prevention of tumor and cancer can be done by early detection using a scanner such as Computed Tomography (CT) Scan and Magnetic Resonance Imaging (MRI). However, those modalities have high production cost and considerable size. The alternative used to overcome this problem is using microwave imaging. Microwave imaging requires large measurement data to improve image quality. To overcome these weaknesses, this research process is algorithmic reconstruct the microwave images with lower number of measurements using Compressive Sensing (CS) approach. CS enables reconstructing a signal from a smaller number of measurements than which is required in the conventional sampling method. This research contributes by adding spatial information using total variation (TV) and solving the problem of optimization using Alternating Direction Method of Multipliers (ADMM). This research were analyzed for the qualitative and quantitative performance. Parameters used in quantitative analysis are MSE and SSIM. The results of this research show that the proposed algorithm successfully implemented the reconstruction of CS by adding TV in terms of image quality and quantitative parameters.

Original languageEnglish
Title of host publication2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728128252
DOIs
Publication statusPublished - Jun 2019
Event2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 - Depok, Indonesia
Duration: 28 Jun 201930 Jun 2019

Publication series

Name2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019

Conference

Conference2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019
CountryIndonesia
CityDepok
Period28/06/1930/06/19

Keywords

  • Compressive sensing
  • Microwave imaging
  • Total variation

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    Fatwasauri, I., & Rizkinia, M. (2019). Compressive sensing image reconstruction with total variation and l2,1 norm for microwave imaging. In 2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019 [9074702] (2nd IEEE International Conference on Innovative Research and Development, ICIRD 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIRD47319.2019.9074702