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A noise-aware enhancement method for underexposed images
http://hdl.handle.net/10748/00011296
http://hdl.handle.net/10748/00011296741a1a20-539f-4735-94ed-da286278db40
名前 / ファイル | ライセンス | アクション |
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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公開日 | 2020-04-01 | |||||||
タイトル | ||||||||
タイトル | A noise-aware enhancement method for underexposed images | |||||||
言語 | ||||||||
言語 | eng | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||||
資源タイプ | thesis | |||||||
著者 |
簡, 健丞
× 簡, 健丞
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著者(ヨミ) |
カン, ケンショウ
× カン, ケンショウ |
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抄録 | ||||||||
内容記述タイプ | Abstract | |||||||
内容記述 | A new method of contrast enhancement for underexposed images, in which lots of noise are hidden in an image, is proposed in this paper. Under low light conditions, images taken by digital cameras have low contrast in dark or bright regions. This is due to a limited dynamic range that imaging sensors have. For these reasons, various contrast enhancement methods have been proposed so far. These methods, however, have two problems: (1) The loss of details in bright regions due to over-enhancement of contrast. (2) The noise is amplified in dark regions because they do not consider noise included images. The proposed method overcomes these problems by using the shadow-up function is applied to adaptive gamma correction with weighting distribution. A denoising filter is also used to avoid noise being amplified in dark regions. As a result, it is concluded that the proposed method allows not only to enhance contrast of dark region, but also to avoid amplifying noise, even under strong noise environments. | |||||||
内容記述 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | 首都大学東京, 2019-03-25, 修士(工学) | |||||||
書誌情報 | p. 1-29, 発行日 2019-03-25 | |||||||
その他のタイトル | ||||||||
その他のタイトル | 低露出画像に対するノイズを考慮した画像強調法 | |||||||
学位名 | ||||||||
学位名 | 修士(工学) | |||||||
学位授与機関 | ||||||||
学位授与機関名 | 首都大学東京 | |||||||
学位授与年月日 | ||||||||
学位授与年月日 | 2019-03-25 |