Grid-based image resizing with user-selected constraint

Kazu Mishiba, Masaaki Ikehara

    Research output: Contribution to conferencePaper

    Abstract

    We present a novel method for content-aware image resizing based on grid transformation. In our proposed method, an original image is projected onto a grid, and then the vertical and horizontal grid lines are moved to resize the image. For obtaining plausible results, our method preserves not only important regions but also aspect ratios of objects and shapes of lines. We define three distortion measures for achieving these preservations. Experimental results demonstrate that our proposed algorithm resizes images with less distortion than other resizing methods.

    Original languageEnglish
    Pages643-646
    Number of pages4
    Publication statusPublished - 2011 Dec 1
    EventAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011 - Xi'an, China
    Duration: 2011 Oct 182011 Oct 21

    Other

    OtherAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011
    CountryChina
    CityXi'an
    Period11/10/1811/10/21

    ASJC Scopus subject areas

    • Information Systems
    • Signal Processing

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  • Cite this

    Mishiba, K., & Ikehara, M. (2011). Grid-based image resizing with user-selected constraint. 643-646. Paper presented at Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011, APSIPA ASC 2011, Xi'an, China.