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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:基于在可能的光流量故障的条件下基于对未磁化的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,这是抵抗光源的偏移 在嘈杂的视频序列条件下单个帧。 框架的噪音意味着单个框架的模糊 由于光源的急剧偏移,视频序列,在自动对焦期间的数据传输伪像或缩放操作 因此 - 结果可以获得一些散焦的图像系列。 该方法的新颖性在于分析局部特征描述符的方法的组合 图形算法的图像和瞬间最小二乘法偏移的相机偏移量的图像 视频序列的各个帧中的噪声。 我们描述了几种实验研究结果 提出的方法和现有特征的数值比较。

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