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Shi, X. Sun, and F. Wu, \u201cSpatially scalable video coding for HEVC,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.22, no.12, pp.1813-1826, 2012.","DOI":"10.1109\/TCSVT.2012.2223031"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] W. Dong, L. Zhang, G. Shi, and X. Wu, \u201cImage deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization,\u201d IEEE Trans. Image Process., vol.20, no.7, pp.1838-1857, 2011.","DOI":"10.1109\/TIP.2011.2108306"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] K.-W. Hung and W.-C. Siu, \u201cRobust soft-decision interpolation using weighted least squares,\u201d IEEE Trans. Image Process., vol.21, no.3, pp.1061-1069, 2012.","DOI":"10.1109\/TIP.2011.2168416"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] K.S. Ni and T.Q. Nguyen, \u201cImage superresolution using support vector regression,\u201d IEEE Trans. Image Process., vol.16, no.6, pp.1596-1610, 2007.","DOI":"10.1109\/TIP.2007.896644"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] K.S. Ni and T.Q. Nguyen, \u201cAn adaptable <i>k<\/i>-nearest neighbors algorithm for MMSE image interpolation,\u201d IEEE Trans. Image Process., vol.18, no.9, pp.1976-1987, 2009.","DOI":"10.1109\/TIP.2009.2023706"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] X. Gao, K. Zhang, D. Tao, and X. Li, \u201cJoint learning for single-image super-resolution via a coupled constraint,\u201d IEEE Trans. Image Process., vol.21, no.2, pp.469-480, 2012.","DOI":"10.1109\/TIP.2011.2161482"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] S. Ruikar and W. Tushar, \u201cAdvanced neighbor embedding for image super resolution,\u201d International Journal of Communication Systems, vol.8, no.2, 2013.","DOI":"10.24297\/ijct.v8i2.3384"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] Q. Wang and R.K. Ward, \u201cA new orientation-adaptive interpolation method,\u201d IEEE Trans. Image Process, vol.16, no.4, pp.889-900, 2007.","DOI":"10.1109\/TIP.2007.891794"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] X. Zhang and X. Wu, \u201cImage interpolation by adaptive 2-D autoregressive modeling and soft-decision estimation,\u201d IEEE Trans. Image Process., vol.17, no.6, pp.887-896, 2008.","DOI":"10.1109\/TIP.2008.924279"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] A.-C. Tsai, K. Bharanitharan, J.-F. Wang, and J.-F. Yang, \u201cClassified multifilter up-sampling algorithm in spatial scalability for H.264\/SVC encoder,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.20, no.6, pp.861-869, 2010.","DOI":"10.1109\/TCSVT.2010.2046052"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] K.-W. Hung and W.-C. Siu, \u201cFast image interpolation using the bilateral filter,\u201d IET Image Processing, vol.6, no.7, pp.877-890, 2012.","DOI":"10.1049\/iet-ipr.2011.0050"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] H.A. Aly and E. Dubois, \u201cImage up-sampling using total-variation regularization with a new observation model,\u201d IEEE Trans. Image Process., vol.14, no.10, pp.1647-1659, 2005.","DOI":"10.1109\/TIP.2005.851684"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] H. Demirel and G. Anbarjafari, \u201cImage resolution enhancement by using discrete and stationary wavelet decomposition,\u201d IEEE Trans. Image Process., vol.20, no.5, pp.1458-1460, 2011.","DOI":"10.1109\/TIP.2010.2087767"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] Z. Ashouri and S. Shirani, \u201cVideo super resolution using contourlet transform and bilateral total variation filter,\u201d IEEE Trans. Consum. Electron., vol.59, no.3, pp.604-609, 2013.","DOI":"10.1109\/TCE.2013.6626245"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] J. Agbinya, \u201cInterpolation using the discrete cosine transform,\u201d Electron. Lett., vol.28, no.20, pp.1927-1928, 1992.","DOI":"10.1049\/el:19921233"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] R. Dugad and N. Ahuja, \u201cA fast scheme for image size change in the compressed domain,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.11, no.4, pp.461-474, 2001.","DOI":"10.1109\/76.915353"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] J. Mukherjee and S.K. Mitra, \u201cImage resizing in the compressed domain using subband DCT,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.12, no.7, pp.620-627, 2002.","DOI":"10.1109\/TCSVT.2002.800509"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] V. Patil, R. Kumar, and J. Mukherjee, \u201cA fast arbitrary factor video resizing algorithm,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.16, no.9, pp.1164-1171, 2006.","DOI":"10.1109\/TCSVT.2006.881859"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] C. Salazar and T.D. Tran, \u201cA complexity scalable universal DCT domain image resizing algorithm,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.17, no.4, pp.495-499, 2007.","DOI":"10.1109\/TCSVT.2007.893836"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] S.-J. Park and J. Jeong, \u201cHybrid image upsampling method in the discrete cosine transform domain,\u201d IEEE Trans. Consum. Electron., vol.56, no.4, pp.2615-2622, 2010.","DOI":"10.1109\/TCE.2010.5681148"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] H. Lim and H. Park, \u201cA ringing-artifact reduction method for block-DCT-based image resizing,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.21, no.7, pp.879-889, 2011.","DOI":"10.1109\/TCSVT.2011.2133250"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] H. Park, Y. Park, and S.K. Oh, \u201cL\/M-fold image resizing in block-DCT domain using symmetric convolution,\u201d IEEE Trans. Image Process., vol.12, no.9, pp.1016-1034, 2003.","DOI":"10.1109\/TIP.2003.816008"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] Y.S. Park and H.W. Park, \u201cArbitrary-ratio image resizing using fast DCT of composite length for DCT-based transcoder,\u201d IEEE Trans. Image Process., vol.15, no.2, pp.494-500, 2006.","DOI":"10.1109\/TIP.2005.863117"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] K.-L. Chung, W.-J. Yang, W.-M. Yan, and C. Fuh, \u201cNew joint demosaicing and arbitrary-ratio resizing algorithm for color filter array based on DCT approach,\u201d IEEE Trans. Consum. Electron., vol.56, no.2, pp.783-791, 2010.","DOI":"10.1109\/TCE.2010.5506002"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] E.-L. Tan, W.-S. Gan, and S. Mitra, \u201cFast arbitrary resizing of images in the discrete cosine transform domain,\u201d IET Image Processing, vol.5, no.1, pp.73-86, 2011.","DOI":"10.1049\/iet-ipr.2008.0004"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] Z. Wu, H. Yu, and C.W. Chen, \u201cA new hybrid DCT-wiener-based interpolation scheme for video intra frame up-sampling,\u201d IEEE Signal Process. Lett., vol.17, no.10, pp.827-830, 2010.","DOI":"10.1109\/LSP.2010.2059700"},{"key":"27","unstructured":"[27] K.-W. Hung and W.-C. Siu, \u201cHybrid DCT-Wiener-based interpolation via learnt Wiener filter,\u201d 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1419-1423, 2013."},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] K.-W. Hung and W.-C. Siu, \u201cNovel DCT-based image up-sampling using learning-based adaptive <i>k<\/i>-NN MMSE estimation,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.24, no.12, pp.2018-2033, 2014.","DOI":"10.1109\/TCSVT.2014.2329352"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] J. Ma, G. Plonka, and M.Y. Hussaini, \u201cCompressive video sampling with approximate message passing decoding,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.22, no.9, pp.1354-1364, 2012.","DOI":"10.1109\/TCSVT.2012.2201673"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] Y. Liu, M. Li, and D.A. Pados, \u201cMotion-aware decoding of compressed-sensed video,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.23, no.3, pp.438-444, 2013.","DOI":"10.1109\/TCSVT.2012.2207269"},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] L. He and L. Carin, \u201cExploiting structure in wavelet-based bayesian compressive sensing,\u201d IEEE Trans. Signal Process., vol.57, no.9, pp.3488-3497, 2009.","DOI":"10.1109\/TSP.2009.2022003"},{"key":"32","unstructured":"[32] L.-W. Kang and C.-S. Lu, \u201cDistributed compressive video sensing,\u201d 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1169-1172, 2009."},{"key":"33","doi-asserted-by":"crossref","unstructured":"[33] J.-L. Starck, M. Elad, and D.L. Donoho, \u201cImage decomposition via the combination of sparse representations and a variational approach,\u201d IEEE Trans. Image Process., vol.14, no.10, pp.1570-1582, 2005.","DOI":"10.1109\/TIP.2005.852206"},{"key":"34","doi-asserted-by":"crossref","unstructured":"[34] J.-W. Kang, M. Gabbouj, and C.-C.J. Kuo, \u201cSparse\/DCT (S\/DCT) two-layered representation of prediction residuals for video coding,\u201d IEEE Trans. Image Process., vol.22, no.7, pp.2711-2722, 2013.","DOI":"10.1109\/TIP.2013.2256917"},{"key":"35","doi-asserted-by":"crossref","unstructured":"[35] D.L. Donoho, \u201cCompressed sensing,\u201d IEEE Trans. Inf. Theory, vol.52, no.4, pp.1289-1306, 2006.","DOI":"10.1109\/TIT.2006.871582"},{"key":"36","doi-asserted-by":"crossref","unstructured":"[36] E.J. Cand\u00e9 and M.B. Wakin, \u201cAn introduction to compressive sampling,\u201d IEEE Signal Process. Mag., vol.25, no.2, pp.21-30, 2008.","DOI":"10.1109\/MSP.2007.914731"},{"key":"37","doi-asserted-by":"crossref","unstructured":"[37] R.G. Baraniuk, \u201cCompressive sensing,\u201d IEEE Signal Process. Mag., vol.24, no.4, pp.118-121, 2007.","DOI":"10.1109\/MSP.2007.4286571"},{"key":"38","doi-asserted-by":"crossref","unstructured":"[38] S.S. Chen, D.L. Donoho, and M.A. Saunders, \u201cAtomic decomposition by basis pursuit,\u201d SIAM J. Sci. Comput., vol.20, no.1, pp.33-61, 1998.","DOI":"10.1137\/S1064827596304010"},{"key":"39","doi-asserted-by":"crossref","unstructured":"[39] R. Neff and A. Zakhor, \u201cVery low bit-rate video coding based on matching pursuits,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.7, no.1, pp.158-171, 1997.","DOI":"10.1109\/76.554427"},{"key":"40","doi-asserted-by":"crossref","unstructured":"[40] J.A. Tropp and A.C. Gilbert, \u201cSignal recovery from random measurements via orthogonal matching pursuit,\u201d IEEE Trans. Inf. Theory, vol.53, no.12, pp.4655-4666, 2007.","DOI":"10.1109\/TIT.2007.909108"},{"key":"41","unstructured":"[41] Z. Li, J. Xie, D. Tu, and Y.-J. Choi, \u201cSparse signal recovery by stepwise subspace pursuit in compressed sensing,\u201d International Journal of Distributed Sensor Networks, vol.2013, pp.1-5, 2013."},{"key":"42","doi-asserted-by":"crossref","unstructured":"[42] E.J. Candes and T. Tao, \u201cNear optimal signal recovery from random projections: Universal encoding strategies,\u201d IEEE Trans. Inf. Theory, vol.52, no.12, pp.5406-5425, 2006.","DOI":"10.1109\/TIT.2006.885507"},{"key":"43","doi-asserted-by":"crossref","unstructured":"[43] Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli, \u201cImage quality assessment: From error visibility to structural similarity,\u201d IEEE Trans. Image Process., vol.13, no.4, pp.600-612, 2004.","DOI":"10.1109\/TIP.2003.819861"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/2\/E99.D_2015EDP7141\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T17:36:21Z","timestamp":1600104981000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E99.D\/2\/E99.D_2015EDP7141\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":43,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2016]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2015edp7141","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}