{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:22:05Z","timestamp":1760955725336},"reference-count":19,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2017]]},"DOI":"10.1587\/transinf.2016edl8255","type":"journal-article","created":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T22:19:35Z","timestamp":1501539575000},"page":"1929-1933","source":"Crossref","is-referenced-by-count":7,"title":["DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation"],"prefix":"10.1587","volume":"E100.D","author":[{"given":"Yu","family":"ZHOU","sequence":"first","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leida","family":"LI","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"GU","sequence":"additional","affiliation":[{"name":"BJUT Faculty of Information Technology, Beijing University of Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaolin","family":"LU","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beijing","family":"CHEN","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"TANG","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, China University of Mining and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] Y.-C. Fan, P.-K. Huang, and D.-W. Shen, \u201c3DTV depth map reconstruction based on structured light scheme,\u201d IEEE Int. Instrum. Meas. Technol. Conf. (I2MTC), pp.835-838, 2013. 10.1109\/i2mtc.2013.6555532","DOI":"10.1109\/I2MTC.2013.6555532"},{"key":"2","doi-asserted-by":"publisher","unstructured":"[2] E. Bosc, R. P\u00e9pion, P.L. Callet, M. Koppel, P. Ndjiki-Nya, M. Pressigout, and L. Morin, \u201cTowards a new quality metric for 3-D synthesized view assessment,\u201d IEEE J. Sel. Topics Signal Process., vol.5, no.7, pp.1332-1343, 2011. 10.1109\/jstsp.2011.2166245","DOI":"10.1109\/JSTSP.2011.2166245"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] Y.J. Jung, H.G. Kim, and Y.M. Ro, \u201cCritical binocular asymmetry measure for the perceptual quality assessment of synthesized stereo 3D images in view synthesis,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.26, no.7, pp.1201-1214, 2016. 10.1109\/tcsvt.2015.2430632","DOI":"10.1109\/TCSVT.2015.2430632"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] P.H. Conze, P. Robert, and L. Morin, \u201cObjective view synthesis quality assessment,\u201d Proc. Electron. Imag. Int. Society for Optics and Photonics, pp.8288-8256, 2012. 10.1117\/12.908762","DOI":"10.1117\/12.908762"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] D. Sandic-Stankovic, D. Kukolj, and P.L. Callet, \u201cDIBR synthesized image quality assessment based on morphological wavelets,\u201d IEEE Int. Workshop on Quality of Multimedia Experience, pp.1-6, 2015. 10.1109\/qomex.2015.7148143","DOI":"10.1186\/s13640-016-0124-7"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] D. Sandic-Stankovic, D. Kukolj, and P.L. Callet, \u201cDIBR synthesized image quality assessment based on morphological pyramids,\u201d The True Vision \u2014 Capture, Transmission and Display of 3D Video, pp.1-4, 2015. 10.1109\/3dtv.2015.7169368","DOI":"10.1109\/3DTV.2015.7169368"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] D. Sandi\u0107-Stankovi\u0107, D. Kukolj, and P.L. Callet, \u201cMulti-scale synthesized view assessment based on morphological pyramids,\u201d J. Electr. Eng., vol.67, no.1, pp.3-11, 2016. 10.1515\/jee-2016-0001","DOI":"10.1515\/jee-2016-0001"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] F. Battisti, E. Bosc, M. Carli, P.L. Callet, and S. Perugia, \u201cObjective image quality assessment of 3D synthesized views,\u201d Sig. Process.: Image Commun., vol.30, pp.78-88, 2015. 10.1016\/j.image.2014.10.005","DOI":"10.1016\/j.image.2014.10.005"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] J. Canny, \u201cA computational approach to edge detection.\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-8. no.6, pp.679-698, 1986. 10.1109\/tpami.1986.4767851","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"10","unstructured":"[10] ITU-T p.910, \u201cSubjective video quality assessment methods for multimedia applications,\u201d 1997."},{"key":"11","unstructured":"[11] G. Cermak, L. Thorpe, and M. Pinson, Test plan for evaluation of video quality models for use with high definition TV content, Video Quality Experts Group, 2009."},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] X. Guo, L. Huang, K. Gu, L. Li, Z. Zhou, and L. Tang, \u201c Naturalization of screen content images for enhanced quality evaluation,\u201d IEICE Trans. Inf. &amp; Syst., vol.E100-D, no.3, pp.574-577, March 2016. 10.1587\/transinf.2016edl8178","DOI":"10.1587\/transinf.2016EDL8178"},{"key":"13","doi-asserted-by":"publisher","unstructured":"[13] 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. 10.1109\/tip.2003.819861","DOI":"10.1109\/TIP.2003.819861"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] L. Zhang, Y. Shen, and H. Li, \u201cVSI: A visual saliency-induced index for perceptual image quality assessment,\u201d IEEE Trans. Image Process., vol.23, no.10, pp.4270-4280, 2014. 10.1109\/tip.2014.2346028","DOI":"10.1109\/TIP.2014.2346028"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] J. Wu, W. Lin, G. Shi, and A. Liu, \u201cPerceptual quality metric with internal generative mechanism,\u201d IEEE Trans. Image Process., vol.22, no.1, pp.43-54, 2013. 10.1109\/tip.2012.2214048","DOI":"10.1109\/TIP.2012.2214048"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] K. Gu, S. Wang, G. Zhai, W. Lin, X. Yang, and W. Zhang, \u201cAnalysis of distortion distribution for pooling in image quality prediction,\u201d IEEE Trans. Broadcast., vol.62, no.2, pp.446-456, 2016. 10.1109\/tbc.2015.2511624","DOI":"10.1109\/TBC.2015.2511624"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] K. Gu, G. Zhai, X. Yang, and W. Zhang, \u201cAn efficient color image quality metric with local-tuned-global model,\u201d Proc. IEEE Int. Conf. Image Process., pp.506-510, 2014. 10.1109\/icip.2014.7025101","DOI":"10.1109\/ICIP.2014.7025101"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] L. Li, H. Cao, Y. Zhang, W. Lin, A.C. Kot, and X. Sun, \u201cSparse representation based image quality index with adaptive sub-dictionaries,\u201d IEEE Trans. Image Process., vol.25, no.8, pp.3775-3786, 2016. 10.1109\/tip.2016.2577891","DOI":"10.1109\/TIP.2016.2577891"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] L. Li, Y. Zhou, W. Lin, J. Wu, X. Zhang, and B. Chen, \u201cNo-reference quality assessment of deblocked images,\u201d Neurocomputing, vol.177, pp.572-584, 2016. 10.1016\/j.neucom.2015.11.063","DOI":"10.1016\/j.neucom.2015.11.063"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/8\/E100.D_2016EDL8255\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T21:36:27Z","timestamp":1569965787000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E100.D\/8\/E100.D_2016EDL8255\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":19,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2016edl8255","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]}}}