Super-Resolution Reconstruction of Radio Tomographic Image
Cheng Sun, Fei Gao, Heng Liu · 2016
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.