Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation

arXiv:2405.03662v1 Announce Type: new
Abstract: We describe a method for recovering the irradiance underlying a collection of images corrupted by atmospheric turbulence. Since supervised data is often technically impossible to obtain, assumptions and biases have to be imposed to solve this inverse problem, and we choose to model them explicitly. Rather than initializing a latent irradiance ("template") by heuristics to estimate deformation, we select one of the images as a reference, and model the deformation in this image by the …

abstract arxiv assumptions biases collection cs.cv data images registration solve template them turbulence type