关键词: BP神经网络, 畸变图像, 畸变校正, 量子遗传算法, 克隆选择

Abstract: Due to the shortcomings of traditional methods, such as building model difficultly, the paper uses the distortion correction method based on neural networks. Firstly, it introduces the clonal selection algorithm of immunology into quantum genetic algorithm, then proposes a method which combines the HQGA and BP algorithm to supplement mutually as neural networks study algorithm applied in distorted image correction. The experiment results show that this method has high accuracy.

Key words: BP neural network, distorted image, distortion correction, quantum genetic algorithm, clonal selection