随机自适应分块法在图像序列变形场估计中的应用

2020 22th International Conference on Digital Signal Processing and its Applications (DSPA) Pub Date : 2020-03-01 DOI:10.1109/DSPA48919.2020.9213297

A. Tashlinskiy, P. Smirnov, R. Kovalenko, R. Ibragimov

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引用次数: 0

摘要

提出了一种用随机自适应方法估计图像序列变形场的分块方法。本文考虑帧间均方差和帧间相关系数作为目标函数。该算法具有较高的抗噪性，可以降低全局帧间几何变化的影响。此外，通过调整块的大小，它可以删除或突出显示小尺寸的移动对象(雨，雪，落叶等)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Stochastic Adaptation in Block Method for Estimating Image Sequence Deformation Field

The paper proposes a block method for estimating the deformation field for image sequences using a stochastic adaptation procedure. As a target function, the paper considers mean square inter-frame difference and interframe correlation coefficient. The developed algorithm has a high noise resistance and allows one to reduce the influence of global inter-frame geometric changes. Also, by adjusting the size of the blocks, it makes it possible to remove or highlight moving objects of small size (rain, snow, falling leaves, etc.).

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来源期刊

2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)

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