  In this paper, we propose a novel uniformity framework for highlight
detection and removal in multi-scenes, including synthetic images, face images,
natural images, and text images. The framework consists of three main
components, highlight feature extractor module, highlight coarse removal
module, and highlight refine removal module. Firstly, the highlight feature
extractor module can directly separate the highlight feature and non-highlight
feature from the original highlight image. Then highlight removal image is
obtained using a coarse highlight removal network. To further improve the
highlight removal effect, the refined highlight removal image is finally
obtained using refine highlight removal module based on contextual highlight
attention mechanisms. Extensive experimental results in multiple scenes
indicate that the proposed framework can obtain excellent visual effects of
highlight removal and achieve state-of-the-art results in several quantitative
evaluation metrics. Our algorithm is applied for the first time in video
highlight removal with promising results.
