Visual-Quality Optimizing Super Resolution

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dc.contributor.authorLiu, F.en_US
dc.contributor.authorWang, J.en_US
dc.contributor.authorZhu, S.en_US
dc.contributor.authorGleicher, M.en_US
dc.contributor.authorGong, Y.en_US
dc.date.accessioned2015-02-23T09:07:47Z
dc.date.available2015-02-23T09:07:47Z
dc.date.issued2009en_US
dc.description.abstractIn this paper, we propose a robust image super-resolution (SR) algorithm that aims to maximize the overall visual quality of SR results. We consider a good SR algorithm to be fidelity preserving, image detail enhancing and smooth. Accordingly, we define perception-based measures for these visual qualities. Based on these quality measures, we formulate image SR as an optimization problem aiming to maximize the overall quality. Since the quality measures are quadratic, the optimization can be solved efficiently. Experiments on a large image set and subjective user study demonstrate the effectiveness of the perception-based quality measures and the robustness and efficiency of the presented method.en_US
dc.description.number1en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01305.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages127-140en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01305.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleVisual-Quality Optimizing Super Resolutionen_US
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