Content aspect ratio preserving mesh-based image resizing

Kazu Mishiba, Masaaki Ikehara, Takeshi Yoshitome

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We proposed a novel method for content-aware image resizing based on grid transformation. Our method moves each vertical and horizontal grid lines in the perpendicular direction to itself. Keeping important regions unchanged is a strong constraint for image resizing. Satisfying this constraint can produce significant distortion on unimportant regions. Our method allows important regions to be changed and suppresses the changes of the aspect ratios of important regions. In addition, we introduced the lower thresholds of the scaling rates of grid meshes and the boundary discarding process. Experimental results demonstrate that our proposed method resizes images with less distortion than other resizing methods.

    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
    Pages865-868
    Number of pages4
    DOIs
    Publication statusPublished - 2012 Dec 1
    Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
    Duration: 2012 Sep 302012 Oct 3

    Publication series

    NameProceedings - International Conference on Image Processing, ICIP
    ISSN (Print)1522-4880

    Other

    Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
    CountryUnited States
    CityLake Buena Vista, FL
    Period12/9/3012/10/3

    Keywords

    • aspect ratio
    • content-aware image resizing
    • grid-based resizing
    • warping method

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems

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  • Cite this

    Mishiba, K., Ikehara, M., & Yoshitome, T. (2012). Content aspect ratio preserving mesh-based image resizing. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 865-868). [6466997] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6466997