Non rigid geometric distortions correction -- Application to atmospheric turbulence stabilization

TL;DR

A novel approach is presented to recover an image degraded by atmospheric turbulence by constructing a variational model to characterize the static image and solving the optimization problem by Bregman Iteration and the operator splitting method.

Abstract

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.

Figures (12)

• Figure 1: Sample images. Each row contains three arbitrary frames from different testing turbulence videos.
• Figure 2: The model of deformation used in this paper.
• Figure 3: The average of the frames of one example video and its magnification of the top right corner.
• Figure 4: The first three rows are example frames and the magnifications of the right part of the frames. The last row shows our reconstructed result.
• Figure 5: The first three rows are example frames and the magnification of the top right part of the frames. The last row shows our reconstructed result.