 |
English
|
正體中文
|
简体中文
|
Post-Print筆數 : 27 |
Items with full text/Total items : 114105/145137 (79%)
Visitors : 52181610
Online Users : 141
|
|
|
Loading...
|
Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/154756
|
| Title: | Image Demoiréing via Multiscale Fusion Networks with Moiré Data Augmentation |
| Authors: | 彭彥璁
Peng, Yan-Tsung;Hou, Chih-Hsiang;Lee, You-Cheng;Yoon, Aiden J.;Chen, Zihao;Lin, Yi-Ting |
| Contributors: | 資訊系 |
| Keywords: | Data augmentation (DA);image demoiréing;multiscale fusion |
| Date: | 2024-04 |
| Issue Date: | 2024-12-12 09:28:00 (UTC+8) |
| Abstract: | In digital imaging, Moiré patterns pose a significant challenge, appearing as rainbow-colored, warped grid patterns. These artifacts emerge when two overlapping patterns create color distortions due to their slight differences. The limitations of complementary metal-oxide-semiconductor (CMOS) active pixel sensors become apparent in photographs, as these sensors capture information discretely in pixels. This is particularly pronounced when photographing patterned items, mainly due to misalignment issues between the sensor and the regularly spaced, overlapping stripes. This process creates a disparity between real-world continuous lines and digital screens, thereby complicating the work of professional photographers. In response to this challenge, we propose the demoiréing multiscale fusion network (DMSFN). By leveraging dilated-dense attention (DDA), multiscale feature interaction, and multikernel strip pooling (MKSP), our approach effectively detects and removes Moiré patterns from sensor outputs. To enhance the demoiréing performance, we augment the training data by transferring Moiré patterns to clean images. Our experimental results indicate that our proposed model outperforms existing state-of-the-art (SOTA) demoiréing methods, as validated on benchmark datasets. This work contributes to advancing the quality of digital sensor outputs in the presence of Moiré patterns and addressing challenges encountered in practical applications. |
| Relation: | IEEE Sensors Journal, Vol.24, No.12, pp.20114-20127 |
| Data Type: | article |
| DOI 連結: | https://doi.org/10.1109/JSEN.2024.3392781 |
| DOI: | 10.1109/JSEN.2024.3392781 |
| Appears in Collections: | [資訊科學系] 期刊論文
|
Files in This Item:
| File |
Description |
Size | Format | |
|---|
| index.html | | 0Kb | HTML | 48 | View/Open |
|
All items in 政大典藏 are protected by copyright, with all rights reserved.
|
著作權政策宣告 Copyright Announcement1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.
2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(
nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(
nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
