Research on Key Information Extraction Algorithm in Image based on Visual Communication Technology

With the development of image processing and artificial intelligence technology, image key information extraction algorithm has become an indispensable tool and technology in many fields. By comparing traditional algorithms with algorithms based on deep learning, such as convolutional neural network (CNN), it is found that the key information extraction algorithm based on visual communication technology has higher accuracy and stability. When this algorithm is used to process multiple different types of images, its highest accuracy can reach 0.95, and its highest recall rate can reach 0.93, which performs well in various algorithms. Therefore, this paper reveals the advantages of image key information extraction algorithm based on visual communication technology in various image processing applications, which has good promotion and application value. This algorithm can improve the accuracy and stability of image processing and analysis, and provide more effective solutions for image processing and analysis tasks in different fields.