Research on Image Privacy Protection Algorithm Based on Generative Adversarial Network

In view of the existing privacy protection means, the sensitive areas in the pictures, such as face, text and other parts, are changed to protect privacy, or the objects involving privacy are removed from the picture or video. However, the obvious defect of these methods is that they destroy the practicability of the photos. When the privacy information in the photos is removed, the important information contained in the photos is also removed. In order to solve this problem, this paper introduces the generative adversarial network and proposes an image privacy protection algorithm. This algorithm defines information privacy methods and optimizes limited areas to ensure that information is properly protected. Different image protection schemes are designed to adapt and not adapt to the safe path. In order to meet the needs of privacy protection, we apply the image privacy protection algorithm in the generative adversarial network. Finally, the simulation analysis of the privacy protection algorithm based on the generative adversarial network is carried out. The experimental results show that compared with the encryption algorithm, the privacy protection algorithm based on the generative adversarial network has better performance in the end-to-end delay and encryption speed.