关键词: 运动模糊, 图像复原, 生成对抗网络, 深度学习

Abstract: Image motion blur is a very challenging problem caused by camera shaking or object movements. In order to tackle this problem, the paper proposes a deep convolutional neural network based on generative adversarial networks method. The proposed method can restore a clear image in an end-to-end way without estimating blur kernel. By introducing adversarial loss based on generative adversarial networks and modifying the residual network structure, the proposed method can restore image details effectively. Then this paper trains this deep convolutional neural network model on public datasets. Finally, it is proved that the proposed method achieves good results according to the test on blurry image benchmark datasets.

Key words: motion blur, image restoration, generative adversarial networks, deep learning