Wavelet based seam carving for content-aware image resizing

Jong Woo Han, Kang Sun Choi, Tae Shick Wang, Sung Hyun Cheon, Sung Jea Ko

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

    22 Citations (Scopus)

    Abstract

    In this paper, a novel content-aware image resizing method based on wavelet analysis is proposed. We estimate the local energy map of an image by weighing its multiscale subbands appropriately. Based on the energy map, the image is resized by repeatedly carving out or inserting in a connected path of pixels which is least significant in terms of the energy. Since wavelet analysis is similar to the way the human visual system operates, the obtained energy map reflects human perception with fidelity, and thus, the semantic information in the image can be preserved faithfully in the resizing process. The experimental results show that the proposed method produces higher subjective quality images than scaling and conventional content-aware image resizing techniques.

    Original languageEnglish
    Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
    PublisherIEEE Computer Society
    Pages345-348
    Number of pages4
    ISBN (Print)9781424456543
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
    Duration: 2009 Nov 72009 Nov 12

    Publication series

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

    Other

    Other2009 IEEE International Conference on Image Processing, ICIP 2009
    Country/TerritoryEgypt
    CityCairo
    Period09/11/709/11/12

    Keywords

    • Content-aware image resizing
    • Seam carving
    • Wavelet decomposition

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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