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Image Retargeting Using Mesh Parametrization

Yanwen Guo, Feng Liu, Jian Shi, Zhihua Zhou, Michael Gleicher
IEEE Transactions on Multimedia — 2009
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    Image retargeting aims to adapt images to displays of small sizes and different aspect ratios. Effective retargeting requires emphasizing the important content while retaining surrounding context with minimal visual distortion. In this paper, we present such an effective image retargeting method using saliency-based mesh parametrization. Our method first constructs a mesh image representation that is consistent with the underlying image structures. Such a mesh representation enables easy preservation of image structures during retargeting since it captures underlying image structures. Based on this mesh representation, we formulate the problem of retargeting an image to a desired size as a constrained image mesh parametrization problem that aims at finding a homomorphous target mesh with desired size. Specifically, to emphasize salient objects and minimize visual distortion, we associate image saliency into the image mesh and regard image structure as constraints for mesh parametrization. Through a stretch-based mesh parametrization process we obtain the homomorphous target mesh, which is then used to render the target image by texture mapping. The effectiveness of our algorithm is demonstrated by experiments.

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    BibTex references

      author       = "Guo, Yanwen and Liu, Feng and Shi, Jian and Zhou, Zhihua and Gleicher, Michael",
      title        = "Image Retargeting Using Mesh Parametrization",
      journal      = "IEEE Transactions on Multimedia",
      year         = "2009",
      url          = "http://graphics.cs.wisc.edu/Papers/2009/GLSZG09"

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