基于LMBP神经网络的非线性畸变图像校正研究

Research on nonlinear distorted image correction based on LMBP neural network

利用LMBP神经网络具有任意的非线性映射能力及快速收敛的特点，提出了一种非线性畸变图像的校正新算法．该算法不仅可以实现有校正模板的畸变图像校正，还可实现无校正模板的畸变图像校正．实验结果表明，该算法具有校正精度高，实现方法简便等特点，是一种有效的非线性畸变图像校正算法．

In this paper a new nonlinear distorted image correction method is proposed based on the LMBP neural network, which has characteristic of arbitrary nonlinear mapped form inputs to outputs and fast convergence. This new algorithm can realize the distorted image correction either with correct template or not. The experimental results show that this method is very simple and has a high correctional precision. So it is an effective nonlinear distorted image correction method.