Research on Image Processing Based on Improved Particle Swarm Optimization

In recent years, with the rapid development of artificial intelligence technology and computer technology, the combination of graphic technology and mathematics has become increasingly close, which greatly promote the development of digital image processing technology. Because of the differences in the task of image processing, the corresponding processing procedures and models are also different, and there is no uniform evaluation criteria for image processing evaluation, therefore, it needs to set the optimal target, so it is necessary to introduce the improved particle swarm algorithm for image processing, so as to obtain the best image processing results. Based on the analysis of the research status of image processing technology, we set up the corresponding model based on improved particle swarm algorithm to process the image and the simple image optimization process. And we carry out the initial selection of the optimization algorithm, the establishment of the optimization target, and the corresponding optimization of the mathematical model. The final result proves that this is a more effective image processing method.