Computer Science > Computer Vision and Pattern Recognition
[Submitted on 11 Feb 2023 (v1), last revised 14 Feb 2023 (this version, v2)]
Title:Removing Image Artifacts From Scratched Lens Protectors
View PDFAbstract:A protector is placed in front of the camera lens for mobile devices to avoid damage, while the protector itself can be easily scratched accidentally, especially for plastic ones. The artifacts appear in a wide variety of patterns, making it difficult to see through them clearly. Removing image artifacts from the scratched lens protector is inherently challenging due to the occasional flare artifacts and the co-occurring interference within mixed artifacts. Though different methods have been proposed for some specific distortions, they seldom consider such inherent challenges. In our work, we consider the inherent challenges in a unified framework with two cooperative modules, which facilitate the performance boost of each other. We also collect a new dataset from the real world to facilitate training and evaluation purposes. The experimental results demonstrate that our method outperforms the baselines qualitatively and quantitatively. The code and datasets will be released after acceptance.
Submission history
From: Yufei Wang [view email][v1] Sat, 11 Feb 2023 17:17:27 UTC (14,443 KB)
[v2] Tue, 14 Feb 2023 08:39:39 UTC (14,444 KB)
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