Specular Highlight Removal

Specular highlight removal aims to digitally eliminate unwanted reflections from images and videos, improving image quality and enabling better performance in tasks like object recognition. Recent research focuses on deep learning approaches, employing sophisticated attention mechanisms and multi-stage networks to effectively separate specular highlights from underlying surface details, often leveraging large synthetic datasets for training and evaluation. These advancements are driven by the need for robust and generalizable methods capable of handling complex real-world scenarios, ultimately impacting applications ranging from image editing to computer vision.