Practical considerations for real-time turbulence mitigation in long-range imagery
Practical considerations for real-time turbulence mitigation in long-range imagery
复制标题
远程图像中实时湍流缓解的实际考虑
DOI：
10.1117/1.oe.56.7.071506
复制
发表时间：
2017
影响因子：
1.3
通讯作者：
Aaron L. Paolini
中科院分区：
文献类型：
--
作者：
E. Kelmelis;Stephen T. Kozacik;Aaron L. Paolini
抽象的。大气湍流通过产生闪烁和扭曲效应使图像质量下降，这些效应会使采集的图像模糊，并降低有效的细节水平。虽然这种图像质量的降低可能发生在各种场景中，但在长距离拍摄时，当靠近地面或在炎热潮湿的环境中拍摄时，这种情况尤其明显。几十年来，研究人员一直试图通过设备和信号处理解决方案来纠正这些问题。虽然全数字方法具有不需要专用硬件的优势，但由于各种实际考虑因素，包括计算性能，需要与相机集成以及处理复杂场景的能力，它们很难在实时场景中实现。我们应对这些挑战，并利用我们的经验克服这些挑战。我们列举了开发一个图像处理方法的大气湍流校正的考虑因素，并描述了我们如何接近他们开发软件能够实时增强远程图像。
Abstract. Atmospheric turbulence degrades imagery by imparting scintillation and warping effects that blur the collected pictures and reduce the effective level of detail. While this reduction in image quality can occur in a wide range of scenarios, it is particularly noticeable when capturing over long distances, when close to the ground, or in hot and humid environments. For decades, researchers have attempted to correct these problems through device and signal processing solutions. While fully digital approaches have the advantage of not requiring specialized hardware, they have been difficult to realize in real-time scenarios due to a variety of practical considerations, including computational performance, the need to integrate with cameras, and the ability to handle complex scenes. We address these challenges and our experience overcoming them. We enumerate the considerations for developing an image processing approach to atmospheric turbulence correction and describe how we approached them to develop software capable of real-time enhancement of long-range imagery.