A Shape-Preserving Approach to Image Resizing

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dc.contributor.authorZhang, Guo-Xinen_US
dc.contributor.authorCheng, Ming-Mingen_US
dc.contributor.authorHu, Shi-Minen_US
dc.contributor.authorMartin, Ralph R.en_US
dc.date.accessioned2015-02-23T16:08:32Z
dc.date.available2015-02-23T16:08:32Z
dc.date.issued2009en_US
dc.description.abstractWe present a novel image resizing method which attempts to ensure that important local regions undergo a geometric similarity transformation, and at the same time, to preserve image edge structure. To accomplish this, we define handles to describe both local regions and image edges, and assign a weight for each handle based on an importance map for the source image. Inspired by conformal energy, which is widely used in geometry processing, we construct a novel quadratic distortion energy to measure the shape distortion for each handle. The resizing result is obtained by minimizing the weighted sum of the quadratic distortion energies of all handles. Compared to previous methods, our method allows distortion to be diffused better in all directions, and important image edges are well-preserved. The method is efficient, and offers a closed form solution.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01568.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1897-1906en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01568.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleA Shape-Preserving Approach to Image Resizingen_US
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