Mathematical Degradation Model Learning for Terahertz Image Super-Resolution

Mathematical Degradation Model Learning for Terahertz Image Super-Resolution

This study proposes a super-resolution (SR) method for terahertz time-domain spectroscopy (THz-TDS) images, combining a convolutional neural network (CNN) and a mathematical degradation model. The mathematical degradation model considers three possible factors affecting the quality of THz images: th...

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Bibliographic Details
Main Authors: Yao Lu, Qi Mao, Jingbo Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
THz-TDS imaging
image super-resolution
CNN
mathematical degradation model
Online Access:https://ieeexplore.ieee.org/document/9539234/

Internet

https://ieeexplore.ieee.org/document/9539234/

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