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The Review of Algorithms to Correct Barrel Distortion Image

机译：算法校正桶形失真图像的综述

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Aiming at solving the problem of correcting barrel distortion of image, this paper concluded the common correction algorithms into three types which include Affine Transformation, Two Degree Polynomial Transformation and Polar Coordinate Transformation, and introduced the basic theory of each of their representative algorithm. Then, analyzed and compared the advantages and disadvantages of them according to the correction experiments. At last, pointed out the research directions and difficulties of this field. In conclusion, Polar Coordinate Transformation is the most appropriate method to correct barrel distortion image, and the improved algorithm based on Polar Coordinate Transformation is more flexible to work out current difficulties of this aspect.
机译：旨在解决校正图像的桶变形的问题，本文得出了普通校正算法分为三种类型，包括仿射变换，两个程度多项式变换和极坐标变换，并引入了它们每个代表性算法的基本理论。然后，分析并比较了它们根据校正实验的优缺点。最后，指出了这一领域的研究方向和困难。总之，极性坐标变换是校正桶形失真图像的最合适的方法，基于极性坐标变换的改进算法更加灵活地解决这方面的当前困难。

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