基于极线约束的优化非线性图像校正方法

Optimization of Nonlinear Image Correction Method Based on Epipolar Constraint

针对非线性图像校正过程中存在的局限性,提出一种优化的非线性图像矫正方法——基于极线约束的非线性图像校正方法.在对极线约束特点进行分析的基础上,根据映射极线基础矩阵的特点,基于RANSAC的对非线性图像匹配集进行计算,并引入极线约束条件,实现对非线性图像特征匹配,最后以匹配结果为依据,对图像进行校正.实验结果表明,本文方法可以有效提高图像校正质量,MSE损失值、峰值信噪比以及结构相似性指标分别为0.223、0.597、7.836,并且耗时仅为0.066 s,表明本文方法具有一定的应用价值.

In view of the limitations of nonlinear image correction,this paper proposes the optimization of the nonlinear image correction method based on the epipolar constraint.Firstly,the characteristics of the epipolar constraint are analyzed.Secondly,on this basis,according to the characteristics of the epipolar basis matrix,the nonlinear image matching set is calculated based on RANSAC,and the epipolar constraint condition is introduced to realize the nonlinear image feature matching.Lastly,the image is corrected based on the matching results.The experimental results show that the proposed method can effectively improve the quality of image correction,that the MSE loss value,peak signal-to-noise ratio and structural similarity index are 0.223,0.597 and 7.836 respectively,and that the time consumption is only 0.066 s,which indicates that the proposed method has a certain research value.