Abstract

Algorithmic mechanisms are used to improve terahertz (THz) image quality, which is critical to a biological sample analysis. A complete mechanism for the super-resolution reconstruction and evaluation of THz biological sample images was constructed in this study. With eucalyptus leaves as an example, the THz spectral region screening technique was adopted to select the characteristic frequencies for imaging, and the THz single-frequency images were reconstructed with the single-image super-resolution image reconstruction technique. The THz super-resolution reconstructed images without ideal reference were evaluated after the introduction of three no-reference image evaluation criteria considering the diversity and complexity of organisms. The results show that the THz image reconstruction mechanism proposed in this study led to an increase in resolution and a decrease in noise. At the same time, the imaging quality of biological samples was considerably improved, and the detailed information was enriched. These provide a reference for a THz imaging analysis of leaves and other biological samples.

© 2022 Optica Publishing Group

Super-resolution reconstruction of terahertz images based on a deep-learning network with a residual channel attention mechanism

Xiuwei Yang, Dehai Zhang, Zhongmin Wang, Yanbo Zhang, Jun Wu, Biyuan Wu, and Xiaohu Wu
Appl. Opt. 61(12) 3363-3370 (2022)

Fourier single pixel imaging reconstruction method based on the U-net and attention mechanism at a low sampling rate

Pengfei Jiang, Jianlong Liu, Long Wu, Lu Xu, Jiemin Hu, Jianlong Zhang, Yong Zhang, and Xu Yang
Opt. Express 30(11) 18638-18654 (2022)

Terahertz image super-resolution based on a deep convolutional neural network

Zhenyu Long, Tianyi Wang, ChengWu You, Zhengang Yang, Kejia Wang, and Jinsong Liu
Appl. Opt. 58(10) 2731-2735 (2019)

Super-resolution reconstruction for terahertz imaging based on sub-pixel gradient field transform

Youdong Guo, Furi Ling, He Li, Siyan Zhou, Jie Ji, and Jianquan Yao
Appl. Opt. 58(23) 6244-6250 (2019)

High-resolution reconstruction for terahertz imaging

Li-Min Xu, Wen-Hui Fan, and Jia Liu
Appl. Opt. 53(33) 7891-7897 (2014)