Fig. 4

Comparison of simulation results under the FPM modality. The left table presents quantitative comparison, while the right images show visual comparison. AP suffers from poor noise robustness. WF requires high computational complexity with longer running time (more than one order of magnitude). Although the deep learning technique consumes the least running time and outperforms the AP and WF methods, its reconstruction quality is still worse than LPR in the presence of measurement noise. In contrast, LPR produces the highest reconstruction quality with as much as nearly 10dB enhancement on PSNR (SNR = 10) and consumes the same order of running time as AP