Development of Image Processing Based on Deep Learning Algorithm
Yanying Zhang, Xiaolin Zheng
Abstract
With the rapid development of computer technology and information technology, the development of deep learning has been greatly promoted, and as the mainstream trend of the development of deep learning, there is a great technological breakthrough in the field of image processing. This paper mainly focuses on the development of image processing technology supported by deep learning algorithm, using particle swarm algorithms, image matching algorithms and deletion strategies to optimize image processing technology, and it is found that each of these methods plays a role in pattern recognition, obtaining deeper meaning of images and deleting unimportant information. Deep learning algorithm enable the processing of a large amount of stored information and ensure the integrity of the image in the process of optimizing image processing.