Dynamic distortion maps for image retargeting

  • Authors:

  • Xuejie Zhang;Yiqun Hu;Deepu Rajan

  • Affiliations:

  • School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Science & Software Engineering, University of Western Australia, Australia;School of Computer Engineering, Nanyang Technological University, Singapore

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2013

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Abstract

We present an image retargeting method that incorporates image content distortion into a mesh optimization process through the generation of dynamic distortion maps. The warping process is driven by the distortion produced by the warping process itself. We retarget the image through an iterative mesh optimization process to minimize the visual distortion. An adaptive distortion map is iteratively constructed to describe the visual distortion between the original image and the retargeted image. The mesh mapping from the source image to the retargeted image is optimized through an energy minimization process. The objective of the optimization is to allow the distortion produced by the retargeting process to be distributed to smooth and highly textured regions which cause less visual distortion while preserving the geometrical structure of the mesh at regions that may cause distortion after retargeting. Experimental evaluation of the algorithm is done both subjectively and objectively.