Content-Aware Image Resizing Based on Row/Column Clustering

• Inoue Kohei

  Department of Communication Design Science, Faculty of Design, Kyushu University

• Hara Kenji

  Department of Communication Design Science, Faculty of Design, Kyushu University

• Urahama Kiichi

  Department of Communication Design Science, Faculty of Design, Kyushu University

Bibliographic Information

Other Title

• 行と列のクラスタリングに基づく内容を考慮した画像のリサイジング

Abstract

We propose an image resizing method using row/column removal and addition based on the clustering of rows and columns in an image. To shrink an image, we first separately cluster a set of rows and a set of columns in the original image and then replace each cluster with a representative row or column to reduce the numbers of rows and columns. To enlarge an image, we add linearly interpolated rows and columns between adjacent clusters. Experimental results show that the proposed method can shrink or enlarge given images while preserving the aspect ratios of the main objects in the images.

Journal

• The Journal of The Institute of Image Information and Television Engineers

  The Journal of The Institute of Image Information and Television Engineers 67 (2), J45-J52, 2013

  The Institute of Image Information and Television Engineers

Keywords

• 画像リサイジング
• 行/列除去
• クラスタリング

Details

• CRID: 1390001205125767552
• NII Article ID: 130003369064
• DOI: 10.3169/itej.67.j45
• ISSN: 18816908
• ISSN: 13426907
• Web Site: https://www.jstage.jst.go.jp/article/itej/67/2/67_J45/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed