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Wiley InterScience | |||||||||||||
 Computer Graphics ForumVolume 28 Issue 1, Pages 127 - 140 Published Online: 23 Feb 2009 Journal compilation © 2009 The Eurographics Association and Blackwell Publishing
Abstract | References | Full Text: HTML, PDF (Size: 1570K) | Related Articles | Citation Tracking  Visual-Quality Optimizing Super Resolution Copyright Journal compilation © 2009 The Eurographics Association and Blackwell Publishing KEYWORDS image super-resolution KEYWORDS I.3.3 [Computer Graphics]: Picture/Image Generation Display algorithms • I.4.3 [Image Processing and Computer Vision]: Enhancement Sharpening and deblurring 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. Submitted March 2008 | 
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 | Expert Systems |
