書誌事項
- タイトル別名
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- Use of Images in Internet Photo Sharing Sites for Example-Based Super-Resolution
- インターネット キョウユウ ガゾウ オ リヨウシタ ジレイ ベース チョウカイゾウ ガゾウ ショリ
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抄録
Example-based super-resolution is an image interpolation algorithm that uses a database of training images to create plausible high-frequency details in zoomed images. The algorithm is fairly simple; however its performance heavily depends on the database. In particular, when the characteristics of a target image to be magnified are different from the training images, the quality of the super-resolved image degrades. By creating a database consisting of a few training images that closely resemble the target image, we have solved the above problem and improved the performance of example-based super-resolution. This is done by transforming selected images which are downloaded from Internet photo sharing sites, to match their characteristics with those of the target image before adding them to the database. The advantage of this method is that by skillfully creating a database of suitable training images, we are able to improve the quality of the super-resolved image.
収録刊行物
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- 映像情報メディア学会誌
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映像情報メディア学会誌 62 (11), 1836-1839, 2008
一般社団法人 映像情報メディア学会
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詳細情報 詳細情報について
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- CRID
- 1390001205097429760
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- NII論文ID
- 110006967783
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- NII書誌ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL書誌ID
- 9706857
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可