TY - GEN
T1 - Removing Image Artifacts From Scratched Lens Protectors
AU - Wang, Yufei
AU - Wan, Renjie
AU - Yang, Wenhan
AU - Wen, Bihan
AU - Chau, Lap Pui
AU - Kot, Alex C.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/7
Y1 - 2023/7
N2 - 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 at https://github.com/wyf0912/flare-removal
AB - 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 at https://github.com/wyf0912/flare-removal
UR - http://www.scopus.com/inward/record.url?scp=85167713893&partnerID=8YFLogxK
U2 - 10.1109/ISCAS46773.2023.10181539
DO - 10.1109/ISCAS46773.2023.10181539
M3 - Conference article published in proceeding or book
AN - SCOPUS:85167713893
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
Y2 - 21 May 2023 through 25 May 2023
ER -