Visual-Quality Optimizing Super Resolution

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In this paper, we propose a robust image super resolution algorithm, which aims to maximize the overall visual quality of super resolution results. We consider a good super resolution 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 super resolution as an optimization 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 our proposed method.

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تاریخ انتشار 2008