Reflection Removal

Reflection Removal is a technique in the field of computer vision aimed at separating clear background images from those containing reflections. This technology analyzes the reflective and background components in an image, utilizing optimization algorithms and deep learning methods to effectively eliminate reflective interference. Its goal is to improve image quality and visual effects, enhancing the accuracy and reliability of subsequent image processing tasks. Reflection Removal has significant application value in scenarios such as surveillance systems, autonomous driving, medical imaging, and augmented reality, where it can improve system perception capabilities and user experience.