2018年3月26日
Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images
2018 IEEE International Conference on Consumer Electronics, ICCE 2018
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- 巻
- 2018-
- 号
- 開始ページ
- 1
- 終了ページ
- 4
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/ICCE.2018.8326171
- 出版者・発行元
- Institute of Electrical and Electronics Engineers Inc.
In this paper, we propose a multi-frame super-resolution (SR) method using a frame selection and a multiple fusion for 250 million pixel image processing. When a tiny part (with a target that is several kilometers away from the camera) is enlarged, quality of the part tends to get poor due to spatial deformations and noise mainly caused by long distance and atmosphere turbulence. In this paper, we first propose an adaptive frame selection method that select a small part of frames with small blur according to the corresponding edge images detected by sobel filters. Then, we propose a multiple fusion scheme to reconstruct selected images in order to removing deformation. In our multiple fusion scheme, all of the alternate images are reference images for reconstruction, by this way both deformation and noise can be removed effectively without expensive computation. Our proposed method for enhancing the quality of 250 million pixel images performs better than conventional multi-frame super-resolution methods in accuracy, simplicity and ease of implementation so that it is quite suitable for commercial use.
- ID情報
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- DOI : 10.1109/ICCE.2018.8326171
- SCOPUS ID : 85048824903