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A New Image Correcting Method Based on MWLS_SVR

机译:基于MWLS_SVR的新图像校正方法

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摘要

Image correction is to establish the correspondence between two images or to determine the geometric transformation. In this paper, we present a novel method to correct image geometric distortion. The method can find the desired transformation by a set of ground control points (GCPs) based on local adaptive multi-scale wavelet least squares support vector regression (MWLS_SVR) and computer the unknown pixels location by the estimated transformations. To test the proposed method, a number of experiments are carried out. The simulated results illustrate that the proposed method can actually correct image geometric distortion and regress arbitrary distortion function such as linear and nonlinear transformation. It is demonstrated in the experiment that the performance of the method has interesting result.
机译:图像校正是建立两个图像之间的对应关系或确定几何变换。在本文中,我们提出了一种纠正图像几何失真的新方法。该方法可以通过基于本地自适应多尺度小波最小二乘支持向量回归(MWLS_SVR)和通过估计的变换来计算所需的地面控制点(GCP)来找到所需的变换。为了测试所提出的方法,进行了许多实验。模拟结果说明了所提出的方法实际上可以校正图像几何失真和回归任意失真函数,例如线性和非线性变换。在实验中证明了该方法的性能具有有趣的结果。

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