Image resizing via non-homogeneous warping

  • Authors:

  • Yuzhen Niu;Feng Liu;Xueqing Li;Michael Gleicher

  • Affiliations:

  • School of Computer Science and Technology, Shandong University, Jinan, China 250101;Department of Computer Sciences, University of Wisconsin--Madison, Madison, USA 53706;School of Computer Science and Technology, Shandong University, Jinan, China 250101;Department of Computer Sciences, University of Wisconsin--Madison, Madison, USA 53706

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2012

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Abstract

Image resizing aims to adapt images to displays with different sizes and aspect ratios. In this paper, we provide a new image resizing approach for efficiently determining the non-homogeneous warp that better preserves the global image configuration and concentrates the distortion in regions of the image where they are least-likely to be noticed. Considering the different properties of large displays and small displays, we design different strategies for upsizing and downsizing. We define a variety of quadratic metrics to measure image distortion. We introduce a patch-linking scheme that can better preserve the global image configuration. We formulate image resizing as a quadratic minimization problem, which can be efficiently solved. We experiment with our method on a variety category of images and compare our results to the state of the art.