[P-IPDP-01] A Deep Neural Network for Time-Fluctuation Spatial Noise Suppression in Optical Correlation Imaging based on a Progressive Growing Adversarial Network
[Presentation Style] Onsite
We propose a deep neural network for time-fluctuation noise suppression (TFNS) by applying a progressive growing GAN (PG-GAN), called a PG-TFNS network. The accuracy of the proposed approach was improved by using an efficient sub-pixel convolutional neural network (ESPCN) for its super-resolution part.