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Real-time content-aware image resizing

  • Hua HuangEmail author
  • TianNan Fu
  • Paul L. Rosin
  • Chun Qi
Article

Abstract

Content-aware image resizing is a kind of new and effective approach for image resizing, which preserves image content well and does not cause obvious distortion when changing the aspect ratio of images. Recently, a seam based approach for content-aware image resizing was proposed by Avidan and Shamir. Their results are impressive, but because the method uses dynamic programming many times, it is slow. In this paper, we present a more efficient algorithm for seam based content-aware image resizing, which searches seams through establishing the matching relation between adjacent rows or columns. We give a linear algorithm to find the optimal matches within a weighted bipartite graph composed of the pixels in adjacent rows or columns. Therefore, our method is fast (e.g. our method needs only about 100 ms to reduce a 768 × 1024 image’s width to 1/3 while Avidan and Shamir’s method needs 12 s). This supports immediate image resizing whereas Avidan and Shamir’s method requires a more costly pre-processing step to enable subsequent real-time processing. A fast method such as the one proposed will be also needed for future real-time video resizing applications.

Keyword

content aware image resizing video resizing real time matching 

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Copyright information

© Science in China Press and Springer-Verlag GmbH 2009

Authors and Affiliations

  • Hua Huang
    • 1
    Email author
  • TianNan Fu
    • 1
  • Paul L. Rosin
    • 2
  • Chun Qi
    • 1
  1. 1.School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’anChina
  2. 2.School of Computer ScienceCardiff UniversityCardiffUK

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