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Aimed at the problem that the images collected by the camera are mostly distorted, a BP neural network correction algorithm based on improved genetic simulated annealing algorithm is designed. Aiming at the problem that traditional genetic algorithm is easy to converge local optimum, this algorithm proposes a selection operator combining segmentation selection strategy and random sampling, adaptive crossover operator and adaptive mutation operator. In the distortion correction, The algorithm establishes the relationship between the ideal point and the distortion point through the input and output of the network. Optimizing the threshold and weight in the neural network through improved genetic simulated annealing algorithm, then carring out local optimization through BP neural network based on LM algorithm, and finally obtaining the corrected images by interpolation. Experiments show that the proposed algorithm can correct the distortion of the image better than the traditional BP neural network algorithm, and the convergence speed is faster.