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Restoration of nonuniformly warped images using accurate frame by frame shiftmap accumulation

机译:使用精确的逐帧移位图累积来恢复不均匀变形的图像

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When imaging through the atmosphere, the resulting image contains not only the desired scene, but also the adverse effects of all the turbulent air mass between the camera and the scene. These effects are viewed as a combination of non-uniform blurring and random shifting of each point in the received short-exposure image. Corrections for both aspects of this combined distortion have been tackled reasonably successfully by previous efforts. A potentially more robust method of restoring the geometry is presented, which is also better suited to real-time implementation. The improvements were achieved by replacing the concept of prototype frame with the sequential registration of each frame with its nearest neighbour and the accurate accumulation of shiftmaps from any one frame to another without redundant calculations.
机译:通过大气成像时,所得图像不仅包含所需的场景,而且还包含相机和场景之间所有湍流空气质量的不利影响。这些效果被视为接收到的短曝光图像中每个点的不均匀模糊和随机移动的组合。先前的努力已经合理地成功解决了对这种组合失真的两个方面的纠正。提出了一种可能更健壮的几何还原方法,该方法也更适合于实时实现。通过将原型框架的概念替换为顺序框架,将每个框架与其最近的邻居进行配准,以及从任何一个框架到另一个框架的移位图的准确累积,而无需进行冗余计算,从而实现了改进。

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