Non rigid geometric distortions correction -- Application to atmospheric turbulence stabilization
This addresses image stabilization for applications like surveillance or astronomy, but appears incremental as it builds on existing variational and optimization methods.
The authors tackled the problem of recovering images degraded by atmospheric turbulence by constructing a variational model to characterize the static image from a sequence of frames, resulting in a simple and efficient algorithm that can be generalized for different scenarios.
A novel approach is presented to recover an image degraded by atmospheric turbulence. Given a sequence of frames affected by turbulence, we construct a variational model to characterize the static image. The optimization problem is solved by Bregman Iteration and the operator splitting method. Our algorithm is simple, efficient, and can be easily generalized for different scenarios.