{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T00:25:30Z","timestamp":1648859130643},"reference-count":10,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2015]]},"DOI":"10.1587\/transinf.2014edl8232","type":"journal-article","created":{"date-parts":[[2015,6,30]],"date-time":"2015-06-30T18:12:12Z","timestamp":1435687932000},"page":"1426-1429","source":"Crossref","is-referenced-by-count":0,"title":["Expose Spliced Photographic Basing on Boundary and Noise Features"],"prefix":"10.1587","volume":"E98.D","author":[{"given":"Jun","family":"HOU","sequence":"first","affiliation":[{"name":"Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"CHENG","sequence":"additional","affiliation":[{"name":"East China University of Political Science and Law"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] P. Ferrara, T. Bianchi, A.D. Rosa, and A. Piva, \u201cImage forgery localization via fine-grained analysis of CFA artifacts,\u201d IEEE Trans. Inf. Forensics Security, vol.7, no.5, pp.1566-1577, 2012.","DOI":"10.1109\/TIFS.2012.2202227"},{"key":"2","unstructured":"[2] J. Hou, H. Shi, Y. Cheng, and R. Li, \u201cFogery image splicing detection by abnormal prediction features,\u201d Proc. IEEE Conf. on Machatronics and Automation, vol.2, pp.1394-1397, 2013."},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] Y.F. Hsu and S.F. Chang, \u201cCamera response functions for image forensics: an automatic algorithm for splicing detection,\u201d IEEE Trans. Inf. Forensics Security, vol.5, no.4, pp.816-825, Dec. 2010.","DOI":"10.1109\/TIFS.2010.2077628"},{"key":"4","unstructured":"[4] J. Fridrich, Digital image forensics: there is more to a picture than meets the eye, Springer, 2012."},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] T.J. Carvalho, C. Riess, E. Angelopoulou, H. Pedrini, and A.R. Rocha, \u201cExposing digital image forgeries by illumination color classification,\u201d IEEE Trans. Information Forensics and Security, vol.8, no.7, pp.1182-1194, 2013.","DOI":"10.1109\/TIFS.2013.2265677"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] H. Yao, S. Wang, Y. Zhao, and X. Zhang, \u201cDetecting image forgery using perspective constraints,\u201d IEEE Signal Process. Lett., vol.19, no.3, pp.123-126, 2012.","DOI":"10.1109\/LSP.2011.2182191"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] P.F. Felzenszwalb, \u201cEfficient graph-based image segmentation,\u201d International J. Computer Vision, vol.59, no.2, pp.167-181, 2004.","DOI":"10.1023\/B:VISI.0000022288.19776.77"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] C.-J. Lin, \u201cProjected gradient methods for nonnegative matrix factorization,\u201d Neural Computation, vol.19, no.10, pp.2756-2779, 2007.","DOI":"10.1162\/neco.2007.19.10.2756"},{"key":"9","unstructured":"[9] R. Fisher, T. Breckon, K.D. Howe, A.W. Fitzgibbon, C. Robertson, E. Trucco, and C.K.I. Williams, Dictionary of computer vision and image processing, Second ed., John Wiley & Sons, 2013"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] J. Portilla, A. Strela, M.J. Wainwright, and E.P. Simoncelli, \u201cImage denoising using scale mixtures of gaussians in the wavelet domain,\u201d IEEE Trans. Image Process., vol.12, no.11, pp.1338-1351, Nov. 2003","DOI":"10.1109\/TIP.2003.818640"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/7\/E98.D_2014EDL8232\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,23]],"date-time":"2017-06-23T10:49:49Z","timestamp":1498214989000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/7\/E98.D_2014EDL8232\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":10,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014edl8232","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}