In-Depth Study of Key Coupling Application Algorithms for Fiber-Optic Image Transmission in Complex Environments Integrating Information and Communication Technologies

This paper studies a key coupling application algorithm for fiber-optic image transmission in complex environments that integrates information and communication technologies. The study first starts with topology optimization and inertia strength analysis, and designs an efficient fiber-optic image transmission module coupling scheme, which significantly improves the transmission stability and anti-interference ability of optical signals in complex environments. The deep learning algorithm is further used to adaptively adjust the image transmission path to ensure that high-resolution imaging effects can still be obtained in a changing environment. The simulation system constructs a refined algorithm model to perform precise data analysis on coupling accuracy, signal loss and transmission efficiency. The results show that the proposed algorithm not only improves the performance of fiber-optic image transmission in complex environments, but also significantly reduces the error and interference of signals during transmission. The precise data simulation results show that the algorithm has improved the transmission efficiency and signal quality by more than 20%, providing a reliable theoretical basis and practical guidance for the application of fiber-optic image transmission technology in complex environments. Through the simulation verification of the system, the practical application value and promotion prospects of the algorithm are further strengthened.