Detection of moving objects through turbulent media. Decomposition of Oscillatory vs Non-Oscillatory spatio-temporal vector fields
arXiv:2410.21551 · doi:10.1016/j.imavis.2018.03.006
Abstract
In this paper, we investigate how moving objects can be detected when images are impacted by atmospheric turbulence. We present a geometric spatio-temporal point of view to the problem and show that it is possible to distinguish movement due to the turbulence vs. moving objects. To perform this task, we propose an extension of 2D cartoon+texture decomposition algorithms to 3D vector fields. Our algorithm is based on curvelet spaces which permit to better characterize the movement flow geometry. We present experiments on real data which illustrate the efficiency of the proposed method.
References in corpus (6)
- Empirical wavelet transform
- 2D Empirical Transforms. Wavelets, Ridgelets and Curvelets revisited
- Non rigid geometric distortions correction -- Application to atmospheric turbulence stabilization
- Real Time Turbulent Video Perfecting by Image Stabilization and Super-Resolution
- Open Turbulent Image Set (OTIS)
- Wavelet Burst Accumulation for turbulence mitigation