@inproceedings{59fe37a0c3984f5ab6e5d8fe8dfcc326,
title = "Super-resolution reconstruction of radio tomographic image",
abstract = "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.",
keywords = "Image resolution, Radio tomographic imaging, Structure-adaptive normalized convolution, Super-resolution",
author = "Cheng Sun and Fei Gao and Heng Liu",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 83rd IEEE Vehicular Technology Conference, VTC Spring 2016 ; Conference date: 15-05-2016 Through 18-05-2016",
year = "2016",
month = jul,
day = "5",
doi = "10.1109/VTCSpring.2016.7504499",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 83rd Vehicular Technology Conference, VTC Spring 2016 - Proceedings",
address = "United States",
}