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  • 标题:時空間画像処理による雨天時画像からの視野妨害ノイズ除去
  • 本地全文:下载
  • 作者:福地 功 ; 山下 淳 ; 金子 透
  • 期刊名称:映像情報メディア学会誌
  • 印刷版ISSN:1342-6907
  • 电子版ISSN:1881-6908
  • 出版年度:2008
  • 卷号:62
  • 期号:5
  • 页码:771-777
  • DOI:10.3169/itej.62.771
  • 出版社:The Institute of Image Information and Television Engineers
  • 摘要:We have developed a method that can remove view-disturbing noise from image sequences by spatio-temporal image processing. In outdoor environments on rainy days, pictures taken by a camera are often degraded because of adherent noise, such as water drops on the surface of the lens-protecting glass of the camera. To solve this problem, our method uses image sequences captured with a pan-tilt camera. The method uses a spatio-temporal image to extract adherent noise regions by examining trajectory differences between adherent noise and other objects in cross-section images. Finally, adherent noise regions are filled in with surrounding information in the cross-section image. Experimental results showed our method is effective.
  • 关键词:時空間画像処理;ノイズ検出;ノイズ除去;首振りカメラ;画像修復
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