Video Deflickering

Video deflickering aims to remove temporal inconsistencies and flickering artifacts from videos, improving visual quality and consistency. Current research focuses on developing both model-free and model-based approaches, including techniques like patch blending, histogram-based filtering, and neural filtering that leverage learned representations to address flickering caused by various sources. These advancements are improving the speed and quality of deflickering, impacting applications ranging from video editing and synthesis to enhancing the realism of computer-generated videos. The development of robust and efficient deflickering methods is crucial for various video processing tasks and improving the overall user experience.