Application of Visual Perception Technology Based on Deep Learning in Image Communication System
As the core technology of modern artificial intelligence,deep learning has made remarkable breakthroughs in the field of visual perception in recent years.Thanks to its powerful nonlinear representation ability and adaptive feature learning mechanism,deep learning models can effectively capture the complex structure and hidden laws of image data,thus showing better performance than traditional methods in image processing tasks.In view of the great potential of deep learning in solving existing problems in image communication systems,this paper aims to deeply explore the theoretical basis and specific application of visual perception technology based on deep learning in image communication systems,hoping to provide references for theoretical research and practical application of deep learning in the field of image communication.
deep learningvisual perception technologyimage communication system
万方数据
维普
