Separating the Direct and Global Components of a Single Image

• Item type: Journal(1)
• 公開日: 2018-11-15
• タイトル: Separating the Direct and Global Components of a Single Image
• タイトル / 言語: en
• タイトル: Separating the Direct and Global Components of a Single Image
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] light transport, layer separation, basis representation, projector-camera system
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Tokyo Institute of Technology
• 著者所属: Beijing Institute of Technology
• 著者所属: National Institute of Informatics
• 著者所属: Wakayama University
• 著者所属: Tokyo Institute of Technology／National Institute of Informatics
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Beijing Institute of Technology
• 著者所属(英): en
• 著者所属(英): National Institute of Informatics
• 著者所属(英): en
• 著者所属(英): Wakayama University
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology / National Institute of Informatics
• 著者名: Art, Subpa-asa; Ying, Fu; Yinqiang, Zheng; Toshiyuki, Amano; Imari, Sato
• 著者名(英): Art, Subpa-asa; Ying, Fu; Yinqiang, Zheng; Toshiyuki, Amano; Imari, Sato
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Direct and global component separation is an approach to study the light transport that provides a basic understanding of the property of a scene. The conventional technique for separation relies on multiple images or an approximation which results in loss of spatial resolution. In this article, we propose a novel single image separation technique by introducing a linear basis equation with full resolution. We evaluate the data independent Fourier basis and learning-based PCA basis to locate the better basis representation of direct and global components. We carefully analyze the importance of high spatial frequency pattern to the effectiveness of our technique. Moreover, we propose the performance enhancement technique to reduce memory usage and computation time for practical implementation. The experimental results confirm that our proposed method delivers higher separation accuracy and better image quality than the previous methods and is applicable to challenging video sequences.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.26(2018) (online); DOI http://dx.doi.org/10.2197/ipsjjip.26.755; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Direct and global component separation is an approach to study the light transport that provides a basic understanding of the property of a scene. The conventional technique for separation relies on multiple images or an approximation which results in loss of spatial resolution. In this article, we propose a novel single image separation technique by introducing a linear basis equation with full resolution. We evaluate the data independent Fourier basis and learning-based PCA basis to locate the better basis representation of direct and global components. We carefully analyze the importance of high spatial frequency pattern to the effectiveness of our technique. Moreover, we propose the performance enhancement technique to reduce memory usage and computation time for practical implementation. The experimental results confirm that our proposed method delivers higher separation accuracy and better image quality than the previous methods and is applicable to challenging video sequences.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.26(2018) (online); DOI http://dx.doi.org/10.2197/ipsjjip.26.755; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 59, 号 11, 発行日 2018-11-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764