Optimization-based Enhancement of THz Data and Image
Express inverse problems as mathematical optimization problems to solve by physical models and optimizers.
Deep Neural Network as an Optimizer for FMCW THz Image Deblurring
Combine the deep optimization prior approach to the modern 2D blind deblurring method FMCW THz.
Deep Optimization Prior for THz Model Parameter Estimation
Deep Optimization Prior approach allows to find better local optima in the non-convex energy landscape.
Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction
An unsupervised model-based autoencoder in which the encoder network predicts suitable parameters and the decoder is fixed to a physical model.
Computational Image Enhancement for Frequency Modulated Continuous Wave (FMCW) THz Image
A novel method to enhance Frequency Modulated Continuous Wave (FMCW) THz imaging resolution beyond its diffraction limit.