Super-Resolution Reconstruction of Electrical Impedance Tomography Images
This addresses image quality issues for EIT systems, making them more competitive with other technologies, but it appears incremental as it builds on existing super-resolution techniques.
The paper tackled the problem of low-resolution images in Electrical Impedance Tomography (EIT) by proposing a resampling-based super-resolution method, resulting in substantial improvements in image resolution.
Electrical Impedance Tomography (EIT) systems are becoming popular because they present several advantages over competing systems. However, EIT leads to images with very low resolution. Moreover, the nonuniform sampling characteristic of EIT precludes the straightforward application of traditional image ruper-resolution techniques. In this work, we propose a resampling based Super-Resolution method for EIT image quality improvement. Preliminary results show that the proposed technique can lead to substantial improvements in EIT image resolution, making it more competitive with other technologies.