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

20 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 publicationProceedings - International Conference on Image Processing, ICIP
Pages345-348
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 2009 Nov 72009 Nov 12

Other

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

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Keywords

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

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Han, J. W., Choi, K. S., Wang, T. S., Cheon, S. H., & Ko, S-J. (2009). Wavelet based seam carving for content-aware image resizing. In Proceedings - International Conference on Image Processing, ICIP (pp. 345-348). [5414414] https://doi.org/10.1109/ICIP.2009.5414414