Flare7K++: mixing synthetic and real datasets for nighttime flare removal and beyond

• المؤلفون الرئيسيون: Dai, Yuekun, Li, Chongyi, Zhou, Shangchen, Feng, Ruicheng, Luo, Yihang, Loy, Chen Change
• مؤلفون آخرون: College of Computing and Data Science
• التنسيق: مقال
• اللغة: English
• منشور في: 2025
• الموضوعات: Computer and Information Science; Low-level computer vision; Image restoration
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/183052

Artificial lights commonly leave strong lens flare artifacts on the images captured at night, degrading both the visual quality and performance of vision algorithms. Existing flare removal approaches mainly focus on removing daytime flares and fail in nighttime cases. Nighttime flare removal is chal...