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Computer Vision (ICCV), 2013. 10.1109\/iccv.2013.75","DOI":"10.1109\/ICCV.2013.75"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] C. Dong, C.C. Loy, K. He, and X. Tang, \u201cLearning a deep convolutional network for image super-resolution,\u201d Proc. Euro. Conf. Computer Vision (ECCV), 2014. 10.1007\/978-3-319-10593-2_13","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] W.T. Freeman, T.R. Jones, and E.C. Pasztor, \u201cExample-based super-resolution,\u201d IEEE Comput. Graph. Appl., vol.22, no.2, pp.56-65, 2002. 10.1109\/38.988747","DOI":"10.1109\/38.988747"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] W. Fan and D.-Y. Yeung, \u201cImage hallucination using neighbor embedding over visual primitive manifolds,\u201d 2007 IEEE Int. Conf. Comput. Vis. Pattern Recognit. 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Topics in Signal Proc., vol.5, no.2, pp.230-239, 2011. 10.1109\/jstsp.2010.2048606","DOI":"10.1109\/JSTSP.2010.2048606"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] C. Kim, K. Choi, and J.B. Ra, \u201cExample-based super-resolution via structure analysis of patches,\u201d IEEE Signal Process. Lett., vol.20, no.4, pp.407-410, 2013. 10.1109\/lsp.2013.2249514","DOI":"10.1109\/LSP.2013.2249514"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] D. Glasner, S. Bagon, and M. Irani, \u201cSuper-resolution from a single image,\u201d Proc. 2009 Int. Conf. Comput. Vision, pp.349-356, 2009. 10.1109\/iccv.2009.5459271","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] G. Freedman and R. Fattal, \u201cImage and video upscaling from local self-examples,\u201d ACM Trans. Graph., vol.30, no.2, Article No. 12, 2011. 10.1145\/1944846.1944852","DOI":"10.1145\/1944846.1944852"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] J.-B. Huang, A. Singh, and N. Ahuja, \u201cSingle image super-resolution from transformed self-exemplars,\u201d Proc. IEEE Conference on Comput. Vis. Pattern Recognit., 2015. 10.1109\/cvpr.2015.7299156","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"16","unstructured":"[16] A. Buades, B. Coll, and J.-M. Morel, \u201cA non-local algorithm for image de-noising,\u201d IEEE Int. Conf. Comput. Vis. Pattern Recognit. (CVPR), 2005. 10.1109\/cvpr.2005.38"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] K. Zhang, X. Gao, D. Tao, and X. Li, \u201cSingle image super-resolution with non-local means and steering kernel regression,\u201d IEEE Trans. Image Process., vol.21, no.11, pp.4544-4556, 2012. 10.1109\/tip.2012.2208977","DOI":"10.1109\/TIP.2012.2208977"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] W. Dong, L. Zhang, R. Lukac, and G. Shi, \u201cSparse representation based image interpolation with nonlocal autoregressive modeling,\u201d IEEE Trans. Image Process., vol.22, no.4, pp.1382-1394, 2013. 10.1109\/TIP.2012.2231086","DOI":"10.1109\/TIP.2012.2231086"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] Y. Romano, M. Protter, and M. Elad, \u201cSingle image interpolation via adaptive nonlocal sparsity-based modeling,\u201d IEEE Trans. Image Process., vol.23, no.7, pp.3085-3098, 2014. 10.1109\/tip.2014.2325774","DOI":"10.1109\/TIP.2014.2325774"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] W. Wu and C. Zheng, \u201cSingle image super-resolution using self-similarity and generalized nonlocal mean,\u201d Proc. 2013 IEEE Region 10 Conference (TENCON), pp.1-4, 2013. 10.1109\/tencon.2013.6718930","DOI":"10.1109\/TENCON.2013.6718930"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] J.-H. Choi, S.-J. Park, D.-Y. Lee, S.-C. Lim, J.-S. Choi, and J.-O. Kim, \u201cAdaptive self-similarity based image super-resolution using non local means,\u201d Proc. 2014 IEEE Conf. on Asia-Pacific Signal and Information Processing Association, pp.1-5, 2014. 10.1109\/apsipa.2014.7041605","DOI":"10.1109\/APSIPA.2014.7041605"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] J. Salvador, E. Perez-Pellitero, and A. Kochale, \u201cRobust single-image super-resolution using cross-scale self-similarity,\u201d Proc. 2014 IEEE Int. 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