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. © 2010 Springer Science+Business Media, LLC.
CITATION STYLE
Niu, Y., Liu, F., Li, X., & Gleicher, M. (2012). Image resizing via non-homogeneous warping. Multimedia Tools and Applications, 56(3), 485–508. https://doi.org/10.1007/s11042-010-0613-0
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