{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T18:30:03Z","timestamp":1780079403643,"version":"3.54.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multidim Syst Sign Process"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s11045-019-00688-x","type":"journal-article","created":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T09:03:21Z","timestamp":1572685401000},"page":"857-883","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["A fast and high accurate image copy-move forgery detection approach"],"prefix":"10.1007","volume":"31","author":[{"given":"Xiang-Yang","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Xian","family":"Jiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hong-Ying","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan-Pan","family":"Niu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,11,2]]},"reference":[{"issue":"11","key":"688_CR1","doi-asserted-by":"publisher","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., Shaji, A., Smith, K., et al. (2012). SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Transactions on Pattern Analysis and Machine Intelligence,34(11), 2274\u20132282.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"688_CR2","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s11760-016-0899-0","volume":"11","author":"A Alahmadi","year":"2017","unstructured":"Alahmadi, A., Hussain, M., Aboalsamh, H., et al. (2017). Passive detection of image forgery using DCT and local binary pattern. Signal, Image and Video Processing,11(1), 81\u201388.","journal-title":"Signal, Image and Video Processing"},{"issue":"6","key":"688_CR3","first-page":"659","volume":"28","author":"I Amerini","year":"2013","unstructured":"Amerini, I., Ballan, L., Caldelli, R., et al. (2013). Copy-move forgery detection and localization by means of robust clustering with J-Linkage. Signal Processing: Image Communication,28(6), 659\u2013669.","journal-title":"Signal Processing: Image Communication"},{"key":"688_CR4","doi-asserted-by":"crossref","unstructured":"Aymaz, S., Aymaz, \u015e., & Uluta\u015f, G. (2016). Detection of copy move forgery using Legendre moments. In 2016 24th signal processing and communication application conference (SIU) (pp. 1125\u20131128). IEEE.","DOI":"10.1109\/SIU.2016.7495942"},{"issue":"1\u20133","key":"688_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.forsciint.2011.07.015","volume":"214","author":"Y Cao","year":"2012","unstructured":"Cao, Y., Gao, T., Fan, L., et al. (2012). A robust detection algorithm for copy-move forgery in digital images. Forensic Science International,214(1\u20133), 33\u201343.","journal-title":"Forensic Science International"},{"issue":"6","key":"688_CR6","doi-asserted-by":"publisher","first-page":"1841","DOI":"10.1109\/TIFS.2012.2218597","volume":"7","author":"V Christlein","year":"2012","unstructured":"Christlein, V., Riess, C., Jordan, J., et al. (2012). An evaluation of popular copy-move forgery detection approaches. IEEE Transactions on Information Forensics and Security,7(6), 1841\u20131854.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"688_CR7","doi-asserted-by":"crossref","unstructured":"Cozzolino, D., Poggi, G., & Verdoliva, L. (2014). Copy-move forgery detection based on patchmatch. In 2014 IEEE international conference on image processing (ICIP) (pp. 5312\u20135316). IEEE.","DOI":"10.1109\/ICIP.2014.7026075"},{"issue":"11","key":"688_CR8","doi-asserted-by":"publisher","first-page":"2284","DOI":"10.1109\/TIFS.2015.2455334","volume":"10","author":"D Cozzolino","year":"2015","unstructured":"Cozzolino, D., Poggi, G., & Verdoliva, L. (2015). Efficient dense-field copy\u2013move forgery detection. IEEE Transactions on Information Forensics and Security,10(11), 2284\u20132297.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"issue":"5","key":"688_CR9","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1049\/iet-ipr.2016.0537","volume":"11","author":"R Dixit","year":"2017","unstructured":"Dixit, R., Naskar, R., & Mishra, S. (2017). Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD. IET Image Processing,11(5), 301\u2013309.","journal-title":"IET Image Processing"},{"key":"688_CR10","first-page":"1","volume":"76","author":"DY Huang","year":"2015","unstructured":"Huang, D. Y., Huang, C. N., Hu, W. C., et al. (2015). Robustness of copy-move forgery detection under high JPEG compression artifacts. Multimedia Tools and Applications,76, 1\u201322.","journal-title":"Multimedia Tools and Applications"},{"key":"688_CR11","doi-asserted-by":"crossref","unstructured":"Isaac, M. M., & Wilscy, M. (2015). Copy-Move forgery detection based on Harris Corner points and BRISK. In Proceedings of the third international symposium on women in computing and informatics (pp. 394\u2013399). ACM.","DOI":"10.1145\/2791405.2791453"},{"key":"688_CR12","doi-asserted-by":"publisher","first-page":"25323","DOI":"10.1109\/ACCESS.2018.2819624","volume":"6","author":"S Jia","year":"2018","unstructured":"Jia, S., Xu, Z., Wang, H., Feng, C., & Wang, T. (2018). Coarse-to-fine copy-move forgery detection for video forensics. IEEE Access,6, 25323\u201325335.","journal-title":"IEEE Access"},{"key":"688_CR13","first-page":"113","volume":"57","author":"G Jin","year":"2017","unstructured":"Jin, G., & Wan, X. (2017). An improved method for SIFT-based copy\u2013move forgery detection using non-maximum value suppression and optimized J-Linkage. Signal Processing: Image Communication,57, 113\u2013125.","journal-title":"Signal Processing: Image Communication"},{"key":"688_CR14","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1016\/j.ins.2015.03.009","volume":"321","author":"JC Lee","year":"2015","unstructured":"Lee, J. C., Chang, C. P., & Chen, W. K. (2015). Detection of copy\u2013move image forgery using histogram of orientated gradients. Information Sciences,321, 250\u2013262.","journal-title":"Information Sciences"},{"key":"688_CR15","doi-asserted-by":"crossref","unstructured":"Li, C., Yu, F., Lin, Z., et al. (2016). A novel fast target tracking based on video image. In 2016 35th Chinese control conference (CCC) (pp. 10264\u201310268). IEEE.","DOI":"10.1109\/ChiCC.2016.7554980"},{"key":"688_CR16","first-page":"64","volume":"52","author":"C Lin","year":"2017","unstructured":"Lin, C., Li, Y., Xu, G., et al. (2017). Optimizing ZNCC calculation in binocular stereo matching. Signal Processing: Image Communication,52, 64\u201373.","journal-title":"Signal Processing: Image Communication"},{"issue":"4","key":"688_CR17","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1109\/TIFS.2010.2078506","volume":"5","author":"X Pan","year":"2010","unstructured":"Pan, X., & Lyu, S. (2010). Region duplication detection using image feature matching. IEEE Transactions on Information Forensics and Security,5(4), 857\u2013867.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"issue":"8","key":"688_CR18","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1109\/TIFS.2015.2423261","volume":"10","author":"CM Pun","year":"2015","unstructured":"Pun, C. M., Yuan, X. C., & Bi, X. L. (2015). Image forgery detection using adaptive oversegmentation and feature point matching. IEEE Transactions on Information Forensics and Security,10(8), 1705\u20131716.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"688_CR19","unstructured":"Ryu, S. J., Lee, M. J., & Lee, H. K. (2010). Detection of copy-rotate-move forgery using Zernike moments. In International workshop on information hiding (pp. 51\u201365). Berlin, Heidelberg: Springer."},{"key":"688_CR20","doi-asserted-by":"crossref","unstructured":"Shah, T. J., & Banday, M. T. (2017). Copy-move forgery detection using hybrid transform and K-means clustering technique. In 2017 3rd international conference on applied and theoretical computing and communication technology (iCATccT) (pp. 79-83). IEEE.","DOI":"10.1109\/ICATCCT.2017.8389110"},{"key":"688_CR21","doi-asserted-by":"crossref","unstructured":"Shahroudnejad, A., & Rahmati, M. (2016). Copy-move forgery detection in digital images using affine-SIFT. In International conference of signal processing and intelligent systems (ICSPIS) (pp. 1\u20135). IEEE.","DOI":"10.1109\/ICSPIS.2016.7869896"},{"issue":"4","key":"688_CR22","first-page":"199","volume":"8","author":"BL Shivakumar","year":"2011","unstructured":"Shivakumar, B. L., & Baboo, S. S. (2011). Detection of region duplication forgery in digital images using SURF. International Journal of Computer Science Issues (IJCSI),8(4), 199.","journal-title":"International Journal of Computer Science Issues (IJCSI)"},{"key":"688_CR23","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.jvcir.2015.01.016","volume":"29","author":"E Silva","year":"2015","unstructured":"Silva, E., Carvalho, T., Ferreira, A., et al. (2015). Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes. Journal of Visual Communication and Image Representation,29, 16\u201332.","journal-title":"Journal of Visual Communication and Image Representation"},{"issue":"2","key":"688_CR24","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1049\/iet-ipr.2017.0441","volume":"12","author":"B Soni","year":"2018","unstructured":"Soni, B., Das, P. K., & Thounaojam, D. M. (2018). CMFD: A detailed review of block based and key feature based techniques in image copy-move forgery detection. IET Image Processing,12(2), 167\u2013178.","journal-title":"IET Image Processing"},{"key":"688_CR25","doi-asserted-by":"crossref","unstructured":"Teerakanok, S., & Uehara, T. (2018). Copy-move forgery detection using GLCM-based rotation-invariant feature: A preliminary research. In 2018 IEEE 42nd annual computer software and applications conference (COMPSAC) (Vol. 2, pp. 365\u2013369). IEEE.","DOI":"10.1109\/COMPSAC.2018.10259"},{"issue":"4","key":"688_CR26","doi-asserted-by":"publisher","first-page":"3039","DOI":"10.1007\/s11277-016-3941-1","volume":"98","author":"V Thirunavukkarasu","year":"2018","unstructured":"Thirunavukkarasu, V., Kumar, J. S., Chae, G. S., et al. (2018). Non-intrusive forensic detection method using DSWT with reduced feature set for copy-move image tampering. Wireless Personal Communications,98(4), 3039\u20133057.","journal-title":"Wireless Personal Communications"},{"key":"688_CR27","unstructured":"\u00dcst\u00fcbio\u011flu, B., Ayas, S., Do\u011fan, H., et al. (2015). Image forgery detection based on colour SIFT. In Signal processing & communications applications conference. IEEE."},{"key":"688_CR28","doi-asserted-by":"crossref","unstructured":"Wang, Z., Fan, B., & Wu, F. (2013) FRIF: Fast robust invariant feature. In British machine vision conference.","DOI":"10.5244\/C.27.16"},{"issue":"10","key":"688_CR29","doi-asserted-by":"publisher","first-page":"3630","DOI":"10.1007\/s10489-018-1168-4","volume":"48","author":"XY Wang","year":"2018","unstructured":"Wang, X. Y., Jiao, L. X., Wang, X. B., et al. (2018a). A new keypoint-based copy-move forgery detection for color image. Applied Intelligence,48(10), 3630\u20133652.","journal-title":"Applied Intelligence"},{"issue":"22","key":"688_CR30","doi-asserted-by":"publisher","first-page":"23353","DOI":"10.1007\/s11042-016-4140-5","volume":"76","author":"XY Wang","year":"2017","unstructured":"Wang, X. Y., Li, S., Liu, Y. N., et al. (2017a). A new keypoint-based copy-move forgery detection for small smooth regions. Multimedia Tools and Applications,76(22), 23353\u201323382.","journal-title":"Multimedia Tools and Applications"},{"issue":"2","key":"688_CR31","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1007\/s10044-016-0588-1","volume":"21","author":"XY Wang","year":"2018","unstructured":"Wang, X. Y., Liu, Y. N., Xu, H., et al. (2018b). Robust copy-move forgery detection using quaternion exponent moments. Pattern Analysis and Applications,21(2), 451\u2013467.","journal-title":"Pattern Analysis and Applications"},{"key":"688_CR32","doi-asserted-by":"crossref","unstructured":"Wang, Y., Tian, L., & Li, C. (2017b). LBP-SVD based copy move forgery detection algorithm. In 2017 IEEE international symposium on multimedia (ISM) (pp. 553\u2013556). IEEE.","DOI":"10.1109\/ISM.2017.108"},{"key":"688_CR33","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1016\/j.jvcir.2017.04.004","volume":"46","author":"NBA Warif","year":"2017","unstructured":"Warif, N. B. A., Wahab, A. W. A., Idris, M. Y. I., et al. (2017). SIFT-symmetry: a robust detection method for copy-move forgery with reflection attack. Journal of Visual Communication and Image Representation,46, 219\u2013232.","journal-title":"Journal of Visual Communication and Image Representation"},{"issue":"2","key":"688_CR34","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1049\/iet-ipr.2016.0229","volume":"11","author":"Y Wo","year":"2017","unstructured":"Wo, Y., Yang, K., Han, G., et al. (2017). Copy\u2013move forgery detection based on multi-radius PCET. IET Image Processing,11(2), 99\u2013108.","journal-title":"IET Image Processing"},{"issue":"7","key":"688_CR35","first-page":"1667","volume":"37","author":"L Yan","year":"2015","unstructured":"Yan, L., Liu, N., Zhang, B., et al. (2015). Image multiple copy-move forgery detection algorithm based on reversed-generalized 2 nearest-neighbor. Journal of Electronics & Information Technology,37(7), 1667\u20131673.","journal-title":"Journal of Electronics & Information Technology"},{"key":"688_CR36","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.engappai.2016.12.022","volume":"59","author":"F Yang","year":"2017","unstructured":"Yang, F., Li, J., Lu, W., et al. (2017). Copy-move forgery detection based on hybrid features. Engineering Applications of Artificial Intelligence,59, 73\u201383.","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"1","key":"688_CR37","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1007\/s11042-016-4289-y","volume":"77","author":"B Yang","year":"2018","unstructured":"Yang, B., Sun, X., Guo, H., et al. (2018). A copy-move forgery detection method based on CMFD-SIFT. Multimedia Tools and Applications,77(1), 837\u2013855.","journal-title":"Multimedia Tools and Applications"},{"issue":"11","key":"688_CR38","doi-asserted-by":"publisher","first-page":"2499","DOI":"10.1109\/TIFS.2016.2585118","volume":"11","author":"M Zandi","year":"2016","unstructured":"Zandi, M., Mahmoudi-Aznaveh, A., & Talebpour, A. (2016). Iterative copy-move forgery detection based on a new interest point detector. IEEE Transactions on Information Forensics and Security,11(11), 2499\u20132512.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"issue":"4","key":"688_CR39","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s11045-016-0416-1","volume":"27","author":"J Zheng","year":"2016","unstructured":"Zheng, J., Liu, Y., Ren, J., et al. (2016). Fusion of block and keypoints based approaches for effective copy-move image forgery detection. Multidimensional Systems and Signal Processing,27(4), 989\u20131005.","journal-title":"Multidimensional Systems and Signal Processing"},{"issue":"6","key":"688_CR40","doi-asserted-by":"publisher","first-page":"3221","DOI":"10.1007\/s11042-014-2431-2","volume":"75","author":"Y Zhu","year":"2016","unstructured":"Zhu, Y., Shen, X., & Chen, H. (2016). Copy-move forgery detection based on scaled ORB. Multimedia Tools and Applications,75(6), 3221\u20133233.","journal-title":"Multimedia Tools and Applications"},{"issue":"5","key":"688_CR41","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1109\/TCSVT.2014.2363743","volume":"25","author":"T Zong","year":"2015","unstructured":"Zong, T., Xiang, Y., Natgunanathan, I., et al. (2015). Robust histogram shape-based method for image watermarking. IEEE Transactions on Circuits and Systems for Video Technology,25(5), 717\u2013729.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"}],"container-title":["Multidimensional Systems and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/link.springer.com\/content\/pdf\/10.1007\/s11045-019-00688-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/link.springer.com\/article\/10.1007\/s11045-019-00688-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/link.springer.com\/content\/pdf\/10.1007\/s11045-019-00688-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:21:01Z","timestamp":1604190061000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/link.springer.com\/10.1007\/s11045-019-00688-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,2]]},"references-count":41,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["688"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/s11045-019-00688-x","relation":{},"ISSN":["0923-6082","1573-0824"],"issn-type":[{"value":"0923-6082","type":"print"},{"value":"1573-0824","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,2]]},"assertion":[{"value":"10 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 October 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 November 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}