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

TL;DR

This paper introduces a variational model and an efficient algorithm to correct atmospheric turbulence distortions in image sequences, enhancing image stability and quality.

Contribution

It presents a novel variational approach combined with Bregman Iteration and operator splitting for turbulence correction, adaptable to various scenarios.

Findings

Effective correction of atmospheric turbulence distortions

Algorithm demonstrates simplicity and efficiency

Applicable to different turbulence scenarios

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.