Design and Performance Analysis of Deep Learning Based Image Processing Algorithm for Communication Engineering
The purpose of this paper is to design and analyze the image processing algorithm for communication engineering based on deep learning.First,the background of the application of deep learning in communication engineering and its advantages are introduced.Then,relevant research works are summarized and the advantages and disadvantages of traditional image processing algorithms and deep learning methods are compared.Then,the design process of the image processing algorithm based on deep learning is described in detail,including data preprocessing,model selection,algorithm implementation,and training and debugging.The effectiveness of the proposed algorithm is verified through experiments,and the experimental results are analyzed in depth,demonstrating the superior performance of the algorithm in application scenarios such as signal detection and decoding,wireless transmission image processing,and image enhancement and compression.Finally,the challenges and future research directions of the algorithm in practical applications are discussed.The research in this paper shows that image processing algorithms based on deep learning have broad application prospects and development potential in communication engineering.
deep learningcommunication engineeringimage processingalgorithm optimization
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