Image reconstruction for compressed ultrafast photography based on manifold learning and the alternating direction method of multipliers

Journal of the Optical Society of America A, Journal Year: 2024, Volume and Issue: 41(8), P. 1585 - 1585

Published: June 28, 2024

Compressed ultrafast photography (CUP) is a high-speed imaging technique with frame rate of up to ten trillion frames per second (fps) and sequence depth hundreds frames. This powerful tool for investigating processes. However, since the reconstruction process an ill-posed problem, image will be more difficult increase number pixels each frame. Recently, various deep-learning-based regularization terms have been used improve quality CUP, but most them require extensive training are not generalizable. In this paper, we propose algorithm CUP based on manifold learning alternating direction method multipliers framework (ML-ADMM), which unsupervised algorithm. improves stability by initializing iterative modeling in embedded space (MMES) processing obtained from ADMM nonlinear learning. The numerical simulation experiment results indicate that spatial details can recovered local noise eliminated. addition, high-spatiotemporal-resolution video acquired. Therefore, applied applications future.

Language: Английский

X-ray compressed ultrafast photography under the constraint of time-integrated-image for X-pinch

Optics and Lasers in Engineering, Journal Year: 2024, Volume and Issue: 183, P. 108508 - 108508

Published: Aug. 16, 2024

Language: Английский