首页|Complex "zero-shot" super-resolution reconstruction algorithm for THz imaging
Complex "zero-shot" super-resolution reconstruction algorithm for THz imaging
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NSTL
To deal with a terahertz (THz) super-resolution (SR) algorithm based on a convolutional neural network (CNN) without standard training datasets, a complex "zero-shot" SR (CZSSR) reconstruction algorithm is proposed according to the internal image statistics with a five-layer complex CNN model. Instead of relying on pre-training, the proposed method is of sound self-adaptability. Compared with real ZSSR, the peak SNR of CZSSR rose by about 0.94 dB, MSE decreased by 0.042, and SSIM increased by about 40% for the SR result of the measured data. The results show that the CZSSR method can solve the low-resolution problem of a THz imaging system and the shortage of datasets in THz SR based on CNN. Therefore, t his research is of great significance for application in the fields of medical imaging and non-destructive detection. (C) 2022 Optica Publishing Group
NSTL
