Fast Terahertz Imaging Model Based on Group Sparsity and Nonlocal Self-Similarity.

Xiaozhen Ren, Yanwen Bai, Yingying Niu, Yuying Jiang

Abstract read

In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

4 authors.

Xiaozhen RenSchool of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China.

Yanwen BaiSchool of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Yingying NiuSchool of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China.

Yuying JiangSchool of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China.

Funding

Henan Science and Technology Department Science and Technology Research Program 182102310759National Natural Science Foundation of China U1904120the Fundamental Research Funds for the Henan Provincial Colleges and Universities 2018RCJH09

6 · The paper itself

Abstract

In order to solve the problems of long-term image acquisition time and massive data processing in a terahertz time domain spectroscopy imaging system, a novel fast terahertz imaging model, combined with group sparsity and nonlocal self-similarity (GSNS), is proposed in this paper. In GSNS, the structure similarity and sparsity of image patches in both two-dimensional and three-dimensional space are utilized to obtain high-quality terahertz images. It has the advantages of detail clarity and edge preservation. Furthermore, to overcome the high computational costs of matrix inversion in traditional split Bregman iteration, an acceleration scheme based on conjugate gradient method is proposed to solve the terahertz imaging model more efficiently. Experiments results demonstrate that the proposed approach can lead to better terahertz image reconstruction performance at low sampling rates.

Indexed as

acceleration schemeconjugate gradientgroup sparsitynonlocal self-similarityterahertz imaging

Identifiers

PMID35056259

DOI10.3390/mi13010094

PMCPMC8781024

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.