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Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure

机译:在可能发生光流故障的情况下,通过对不稳定视频序列的分析来获得无噪声图像

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In the paper we described a method for video sequence processing, which is resistant to shifts of an optical sourceunder noisy conditions of video sequence individual frames. The noisiness of frames means blurring of individual framesof a video sequence due to sharp shifts of an optical source, data transfer artifacts or zoom operation during autofocus andconsequently - as a result some defocused images series can be obtained.The novelty of the method lies in the combination of the approach of analyzing descriptors of local features of theimage of graph algorithms and extrapolating the values of the camera offset by the least squares method at the momentsof noise in the individual frames of the video sequence. We have depicted several experimental research results of theproposed method and a numerical comparison of qualitative characteristics with the existing ones.
机译:在本文中,我们描述了一种用于视频序列处理的方法,该方法可以抵抗光源的偏移 在视频序列嘈杂的条件下,单个帧。帧的噪点意味着单个帧的模糊 视频序列的变化是由于在自动对焦和自动对焦期间光源急剧移动,数据传输伪影或变焦操作所致。 因此-结果是可以获得一些散焦图像系列。 该方法的新颖之处在于分析方法的局部特征描述方法的组合。 图算法的图像,并通过最小二乘法暂时推断相机的偏移值 视频序列的各个帧中的噪声。我们已经描述了几个实验研究结果 提出的方法以及与现有方法的定性特征的数值比较。

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