用变分法修复湍流模糊图像，稳定视频画质。

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

• 构建变分模型恢复静态图像，结合Bregman迭代求解
• 处理多帧湍流退化图像，实现高效稳定重建
• 算法简洁通用，适合实时视频增强场景

本文提出一种新方法，用于恢复受大气湍流影响的图像。给定一组受湍流干扰的视频帧，通过构建变分模型来表征原始静态图像，并采用Bregman迭代与算子分裂法求解优化问题。该算法结构简单、计算高效，可灵活推广至不同应用场景，有效抑制湍流引起的几何畸变，提升图像清晰度与稳定性。

原文摘要 · Abstract (English)

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.

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