计算机视觉驱动的视频通信图像超分辨率重建技术研究OA

With the rapid development of scenarios such as 5G communication,remote office and intelligent security,the demand for image resolution in video communication continues to increase.However,issues like low bandwidth constraints,complex motion interfer-ence and multi-type noise often lead to quality defects in the transmitted images,such as detail loss and blurriness.This paper takes com-puter vision technology as the core driver to study the technical architecture,bottleneck breakthrough paths and application implementa-tion methods of super-resolution reconstruction for video communication images.By constructing a scene-aware dynamic feature weight allocation mechanism,a lightweight Transformer feature fusion architecture and a multi-scale noise adaptive suppression module,the bal-ance between reconstruction accuracy and real-time performance is achieved.