Superresolution imaging using constrained iterative deconvolution

Xiongjun Fu; Shuilian Peng; Shengqi Qian; Chengyan Zhang; Ming Xie; Shuguang Li

doi:10.1109/ICIEA.2016.7603667

Superresolution imaging using constrained iterative deconvolution

Xiongjun Fu, Shuilian Peng, Shengqi Qian, Chengyan Zhang, Ming Xie, Shuguang Li

集成电路与电子学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Constrained iterative deconvolution (CID) super-resolution algorithm and its fast version, i.e., fast constrained-iterative deconvolution (FCID) are studied. These approaches are able to break through the aperture limiting to angular resolutions and can be applicable to two-dimensional imaging of non-coherent radars. However, FCID algorithm suffers from divergence, which limits the improvement of angular resolutions. A cascade algorithm that FCID iterations alternate with CID iterations is developed in this paper. This algorithm significantly increases permissible FCID iterations, thus higher angular resolution of two-dimensional imaging is achieved with less computational burden.

源语言	英语
主期刊名	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
出版商	Institute of Electrical and Electronics Engineers Inc.
页	669-672
页数	4
ISBN（电子版）	9781509026050
DOI	https://doi.org/10.1109/ICIEA.2016.7603667
出版状态	已出版 - 19 10月 2016
活动	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, 中国期限: 5 6月 2016 → 7 6月 2016

出版系列

姓名	Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

会议

会议	11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
国家/地区	中国
市	Hefei
时期	5/06/16 → 7/06/16

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10.1109/ICIEA.2016.7603667

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Fu, X., Peng, S., Qian, S., Zhang, C., Xie, M., & Li, S. (2016). Superresolution imaging using constrained iterative deconvolution. 在 Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016 (页码 669-672). 文章 7603667 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2016.7603667

Fu, Xiongjun ; Peng, Shuilian ; Qian, Shengqi 等. / Superresolution imaging using constrained iterative deconvolution. Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 669-672 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

@inproceedings{f0cc29e1becf4655bb7d0322f0f31725,

title = "Superresolution imaging using constrained iterative deconvolution",

abstract = "Constrained iterative deconvolution (CID) super-resolution algorithm and its fast version, i.e., fast constrained-iterative deconvolution (FCID) are studied. These approaches are able to break through the aperture limiting to angular resolutions and can be applicable to two-dimensional imaging of non-coherent radars. However, FCID algorithm suffers from divergence, which limits the improvement of angular resolutions. A cascade algorithm that FCID iterations alternate with CID iterations is developed in this paper. This algorithm significantly increases permissible FCID iterations, thus higher angular resolution of two-dimensional imaging is achieved with less computational burden.",

keywords = "CID, FCID, cascade algorithm, higher angular resolution, less computational burden",

author = "Xiongjun Fu and Shuilian Peng and Shengqi Qian and Chengyan Zhang and Ming Xie and Shuguang Li",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 ; Conference date: 05-06-2016 Through 07-06-2016",

year = "2016",

month = oct,

day = "19",

doi = "10.1109/ICIEA.2016.7603667",

language = "English",

series = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "669--672",

booktitle = "Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016",

address = "United States",

}

Fu, X, Peng, S, Qian, S, Zhang, C, Xie, M & Li, S 2016, Superresolution imaging using constrained iterative deconvolution. 在 Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016., 7603667, Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, Institute of Electrical and Electronics Engineers Inc., 页码 669-672, 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016, Hefei, 中国, 5/06/16. https://doi.org/10.1109/ICIEA.2016.7603667

Superresolution imaging using constrained iterative deconvolution. / Fu, Xiongjun; Peng, Shuilian; Qian, Shengqi 等.
Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 页码 669-672 7603667 (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Superresolution imaging using constrained iterative deconvolution

AU - Fu, Xiongjun

AU - Peng, Shuilian

AU - Qian, Shengqi

AU - Zhang, Chengyan

AU - Xie, Ming

AU - Li, Shuguang

PY - 2016/10/19

Y1 - 2016/10/19

N2 - Constrained iterative deconvolution (CID) super-resolution algorithm and its fast version, i.e., fast constrained-iterative deconvolution (FCID) are studied. These approaches are able to break through the aperture limiting to angular resolutions and can be applicable to two-dimensional imaging of non-coherent radars. However, FCID algorithm suffers from divergence, which limits the improvement of angular resolutions. A cascade algorithm that FCID iterations alternate with CID iterations is developed in this paper. This algorithm significantly increases permissible FCID iterations, thus higher angular resolution of two-dimensional imaging is achieved with less computational burden.

AB - Constrained iterative deconvolution (CID) super-resolution algorithm and its fast version, i.e., fast constrained-iterative deconvolution (FCID) are studied. These approaches are able to break through the aperture limiting to angular resolutions and can be applicable to two-dimensional imaging of non-coherent radars. However, FCID algorithm suffers from divergence, which limits the improvement of angular resolutions. A cascade algorithm that FCID iterations alternate with CID iterations is developed in this paper. This algorithm significantly increases permissible FCID iterations, thus higher angular resolution of two-dimensional imaging is achieved with less computational burden.

KW - CID

KW - FCID

KW - cascade algorithm

KW - higher angular resolution

KW - less computational burden

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U2 - 10.1109/ICIEA.2016.7603667

DO - 10.1109/ICIEA.2016.7603667

M3 - Conference contribution

AN - SCOPUS:84997447967

T3 - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

SP - 669

EP - 672

BT - Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016

Y2 - 5 June 2016 through 7 June 2016

ER -

Fu X, Peng S, Qian S, Zhang C, Xie M, Li S. Superresolution imaging using constrained iterative deconvolution. 在 Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 页码 669-672. 7603667. (Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016). doi: 10.1109/ICIEA.2016.7603667

Superresolution imaging using constrained iterative deconvolution

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