講演抄録/キーワード |
講演名 |
2015-06-08 15:55
Weight Optimization for Image Integration and Restoration ○Ryo Matsuoka(Univ of Kitakyushu)・Tomohiro Yamauchi(QBS)・Tatsuya Baba・Masahiro Okuda(Univ of Kitakyushu) SIS2015-7 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
To restore an image degraded by sensor noise or quantization error, multiple image integration is an effective and powerful approach. However, it is a challenging problem to provide optimal weight map for integration. In this report, we introduce a novel weight optimization scheme for multiple image integration via convex optimization. To show the capability of the proposed weight optimization scheme, we apply it to the image restoration problems that is denoising and super-resolution. Experimental results show that the proposed weight optimization scheme outperforms conventional methods. |
キーワード |
(和) |
/ / / / / / / |
(英) |
denoising / convex optimization / high dynamic range images / super-resolution / / / / |
文献情報 |
信学技報, vol. 115, no. 75, SIS2015-7, pp. 35-38, 2015年6月. |
資料番号 |
SIS2015-7 |
発行日 |
2015-06-01 (SIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SIS2015-7 |
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