29 August 2016 An edge-preserving iterative back-projection method for image super-resolution
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003348 (2016) https://doi.org/10.1117/12.2248326
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
As an effective super-resolution reconstruction technique, the original iterative back-projection (IBP) suffers from jaggy artifacts around the edge caused by the initial estimation of high-resolution image obtained with traditional interpolation methods like bilinear interpolation. In this paper, we present an edge-preserving iterative back-projection method for image super-resolution, which employs an effective edge-preserving interpolation method called iterative curvature based interpolation (ICBI) method for up-sampling to get the initial estimation of high-resolution image. The proposed method combines the IBP algorithm with the ICBI method which is a two-step grid filling and an iterative correction of the interpolated pixels obtained by minimizing an objective function depending on the second-order directional derivatives of the image intensity. Experiment results increases the PSNR compared to other existing algorithms and also improves edge quality of the image considerably.
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Jing Tan, Jing Tan, Zhi-qiang Tao, Zhi-qiang Tao, Ai-hua Cao, Ai-hua Cao, Hai-ling Li, Hai-ling Li, Hong-bing Zhang, Hong-bing Zhang, } "An edge-preserving iterative back-projection method for image super-resolution", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003348 (29 August 2016); doi: 10.1117/12.2248326; https://doi.org/10.1117/12.2248326
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