Physics-guided infrared spatiotemporal noise modeling based on hybrid neural representation
We propose an infrared spatiotemporal noise modeling framework (IRSTN) based on hybrid neural representation, which leverages unpaired video data to simulate real-world noise.
Oct 23, 2024
Self-BSR: Self-supervised Image Denoising and Destriping Based on Blind-Spot Regularization
We propose a self-supervised image denoising and destriping method based on blind-spot regularization, named Self-BSR, which transforms the overall denoising and destriping problem into a modeling task for two spatially correlated signals, image and stripe.
Sep 9, 2024
Frequency-Aware Degradation Modeling for Real-World Thermal Image Super-Resolution
To enhance the SR performance for real-world thermal images, we propose an unsupervised SR framework that integrates degradation modeling with corresponding SR reconstruction.
Jan 16, 2024