Highlight Removal

Highlight removal aims to digitally eliminate specular reflections (highlights) from images while preserving underlying texture and color information. Current research focuses on developing sophisticated algorithms, including multi-stage networks employing feature extraction and refinement modules, to achieve this goal across diverse image types (e.g., medical, facial, and natural scenes). These advancements improve image quality in various applications, such as enhancing the diagnostic value of medical images and improving the visual appeal of photographs. The development of robust and efficient highlight removal techniques is crucial for numerous image processing tasks.