An Image Reconstruction Algorithm Based on Two-Step Iterative Shrinkage/Thresholding for Electrical Resistance Tomography

Li, Shouxiao; Chen, Joanna N.; Wang, Huaxiang; Cui, Ziqiang

doi:10.1109/i2mtc50364.2021.9460040

Cited by 2 publications

(1 citation statement)

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“…For the dictionary matrix, we considered the discrete Fourier transform domain, which provided the best performance compared to the discrete cosine transform and wavelet domains in our experiments. To minimize the cost function in (15), we used the two-step iterative shrinkage/thresholding (TwIST) algorithm [28], which converges much faster than similar algorithms such as IST [29].…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Efficient 3D Image Reconstruction for Near-Field Microwave Imaging Using Dynamic Metasurface Antenna

et al. 2022

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In this paper, rapid reconstruction of a three-dimensional (3D) image of a scene for nearfield microwave imaging using a dynamic metasurface antenna (DMA) is addressed. The imaging system consists of a fixed transmitting DMA and a single moving antenna as the receiver. In the proposed approach, after pre-processing the raw data and converting it into an applicable form for Fourier computations, the converted data are processed by the presented algorithm (all with fast Fourier computations, without the need for the heavy Stolt interpolation step). Furthermore, after extracting a closed-form expression for image reconstruction, a minimization problem is defined using the compressive-sensing (CS) theory, which allows a sparse pattern to be sampled instead of collecting full data, thereby significantly improving the data acquisition rate (according to the CS rate). The performance of the proposed approach is examined by computer simulations and analytical discussions.

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Section: Simulation Results and Discussionmentioning

confidence: 99%