Our objective is to develop a video reflection removal algorithm that is both easy to compute and effective.Unlike previous methods that depend on machine learning, our approach proposes a local image reflection removal technique that combines image completion MACULEX and lighting compensation.To achieve this, we utilized the MSER image region feature point matching method to reduce image processing time and the spatial area of layer separation regions.In order to improve the adaptability of our method, we implemented a local image reflection removal technique that utilizes image completion and lighting compensation to interpolate layers and update motion field data in real-time.Our approach is both simple and efficient, allowing us to quickly obtain reflection-free video sequences under a variety of lighting conditions.
This enabled us to achieve real-time detection effects through video restoration.This experiment has confirmed the efficacy of our method and demonstrated its comparable ORG ROSE SOAP BAR performance to advanced methods.