摘要
To improve the resolution of radio tomographic image and get more details of the target, this paper introduces nonuniform interpolation, projection onto convex sets and structure-adaptive normalized convolution approaches for image reconstruction from a series of radio tomographic images. We compare these approaches in three aspects: time consumption, visual inspection and similarity calculation. Experimental results show that super-resolution reconstruction algorithms enhance the resolution of radio tomographic image while preserving the detail and edge of image, and the structure-adaptive normalized convolution approach is appropriate to radio tomographic imaging system.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（电子版） | 9781509016983 |
| DOI | |
| 出版状态 | 已出版 - 5 7月 2016 |
| 活动 | 83rd IEEE Vehicular Technology Conference, VTC Spring 2016 - Nanjing, 中国 期限: 15 5月 2016 → 18 5月 2016 |
出版系列
| 姓名 | IEEE Vehicular Technology Conference |
|---|---|
| 卷 | 2016-July |
| ISSN（印刷版） | 1550-2252 |
会议
| 会议 | 83rd IEEE Vehicular Technology Conference, VTC Spring 2016 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Nanjing |
| 时期 | 15/05/16 → 18/05/16 |
指纹
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Sun, C., Gao, F., & Liu, H. (2016). Super-resolution reconstruction of radio tomographic image. 在 2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings 文章 7504499 (IEEE Vehicular Technology Conference; 卷 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2016.7504499