Seam carving in wavelet transform domain

Kazu Mishiba, Masaaki Ikehara

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

    5 Citations (Scopus)

    Abstract

    Content aware image resizing technique has become more important with the development of device technology. Although the seam carving method produces high-quality resized images, it requires high computational complexity. In this paper, we propose a faster content-aware image resizing technique. Our method performs seam carving in wavelet transform domain. This approach reduces the computational complexity of image resizing. To avoid breaking in the spatial continuity of an image, our method reduces the image width by scaling a seam width down instead of carving it out. In addition, the decomposition level can be decreased adaptively to avoid distortion. We show our method produces resized images with less distortion and less computational cost than the seam carving method.

    Original languageEnglish
    Title of host publicationICIP 2011
    Subtitle of host publication2011 18th IEEE International Conference on Image Processing
    Pages1497-1500
    Number of pages4
    DOIs
    Publication statusPublished - 2011 Dec 1
    Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
    Duration: 2011 Sep 112011 Sep 14

    Publication series

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

    Other

    Other2011 18th IEEE International Conference on Image Processing, ICIP 2011
    CountryBelgium
    CityBrussels
    Period11/9/1111/9/14

    Keywords

    • content-aware image resizing
    • seam carving
    • wavelet transform

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

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  • Cite this

    Mishiba, K., & Ikehara, M. (2011). Seam carving in wavelet transform domain. In ICIP 2011: 2011 18th IEEE International Conference on Image Processing (pp. 1497-1500). [6115727] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2011.6115727