{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T06:17:10Z","timestamp":1785392230655,"version":"3.55.0"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T00:00:00Z","timestamp":1671580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Key Program of Natural Science Fund of Tianjin","award":["#21JCZDJC00130"],"award-info":[{"award-number":["#21JCZDJC00130"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,17]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Copy-move is a common image forgery operation, which copies and moves a block of an image from one position to another place. Image hashing refers to extracting a unique number sequence from the image by using various image features. In practical application, image hashing is used to replace the image itself, which effectively reduces the cost of image storage and computational complexity. In this paper, we propose a novel image hash extraction scheme: constructing image hashing by combining local feature based on Canny operator and global feature based on tensor. In addition, instead of using the traditional correlation coefficient or Hamming distance, a novel method is proposed to calculate the hash distances. A large number of experiments have proved that our image hashing can achieve a better balance between robustness and discrimination with a shorter hash length. What\u2019s more, we can directly locate the forgery areas from the hashing for copy-move forged images.<\/jats:p>","DOI":"10.1093\/comjnl\/bxac186","type":"journal-article","created":{"date-parts":[[2022,12,22]],"date-time":"2022-12-22T13:24:28Z","timestamp":1671715468000},"page":"447-462","source":"Crossref","is-referenced-by-count":5,"title":["Perceptual Image Hashing Based on Canny Operator and Tensor for Copy-Move Forgery Detection"],"prefix":"10.1093","volume":"67","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1667-8257","authenticated-orcid":false,"given":"Mengqi","family":"Liu","sequence":"first","affiliation":[{"name":"School of Software, Nankai University , No. 23, Hongda Street, Binhai New Area, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1573-1979","authenticated-orcid":false,"given":"Hang","family":"Gao","sequence":"additional","affiliation":[{"name":"Institute for Public Safety Research, Tsinghua University , 30 Shuangqing Road, Haidian District, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9551-6549","authenticated-orcid":false,"given":"Xiaofan","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Software, Nankai University , No. 23, Hongda Street, Binhai New Area, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9238-9866","authenticated-orcid":false,"given":"Suying","family":"Gui","sequence":"additional","affiliation":[{"name":"School of Software, Nankai University , No. 23, Hongda Street, Binhai New Area, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3964-2612","authenticated-orcid":false,"given":"Tiegang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Software, Nankai University , No. 23, Hongda Street, Binhai New Area, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"2024021913314944000_ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.sigpro.2015.10.027","article-title":"Multi-scale image hashing using adaptive local feature extraction for robust tampering detection","volume":"121","author":"Yan","year":"2016","journal-title":"Signal Process."},{"key":"2024021913314944000_ref2","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1109\/TMM.2003.811621","article-title":"Structural digital signature for image authentication: An incidental distortion resistant scheme","volume":"5","author":"Lu","year":"2003","journal-title":"IEEE Trans. Multimed."},{"key":"2024021913314944000_ref3","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/TCSVT.2006.887086","article-title":"An image quality evaluation method based on digital watermarking","volume":"17","author":"Wang","year":"2006","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2024021913314944000_ref4","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1109\/79.939835","article-title":"Digital watermarking: Algorithms and applications","volume":"18","author":"Podilchuk","year":"2001","journal-title":"IEEE Signal Process. Mag."},{"key":"2024021913314944000_ref5","first-page":"65","volume-title":"Proceedings of the 17th ACM international conference on Multimedia, Beijing, China, 19\u201324 October","author":"Kuo","year":"2009"},{"key":"2024021913314944000_ref6","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.dsp.2015.03.006","article-title":"Robust hashing for image authentication using quaternion discrete Fourier transform and log-polar transform","volume":"41","author":"Ouyang","year":"2015","journal-title":"Digit. Signal Process."},{"key":"2024021913314944000_ref7","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.sigpro.2015.10.010","article-title":"Cross-modal self-taught hashing for large-scale image retrieval","volume":"124","author":"Xie","year":"2016","journal-title":"Signal Process."},{"key":"2024021913314944000_ref8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2978572","article-title":"Robust hashing based on quaternion Zernike moments for image authentication","volume":"12","author":"Ouyang","year":"2016","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"key":"2024021913314944000_ref9","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1109\/TIFS.2011.2129512","article-title":"A sift-based forensic method for copy\u2013move attack detection and transformation recovery","volume":"6","author":"Amerini","year":"2011","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2024021913314944000_ref10","first-page":"149","volume-title":"2nd International Conference of Signal Processing and Intelligent Systems, Tehran, IRAN, 14\u201315 December","author":"Shahroudnejad","year":"2016"},{"key":"2024021913314944000_ref11","first-page":"102481","article-title":"A copy-move image forgery detection technique based on tetrolet transform","volume":"52","author":"Meena","year":"2020","journal-title":"J. Inf. Secur. Appl."},{"key":"2024021913314944000_ref12","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1109\/ICIP.1996.560425","volume-title":"Proceedings of 3rd IEEE International Conference on Image Processing, Lausanne, Switzerland, 19\u201319 September","author":"Schneider","year":"1996"},{"key":"2024021913314944000_ref13","first-page":"178","volume-title":"Proceedings International Conference on Information Technology: Coding and Computing, Las Vegas, NV, USA, 27\u201329 March","author":"Fridrich","year":"2000"},{"key":"2024021913314944000_ref14","first-page":"664","volume-title":"Proceedings 2000 International Conference on Image Processing, Vancouver, Canada, 10\u201313 September","author":"Venkatesan","year":"2000"},{"key":"2024021913314944000_ref15","first-page":"1","volume-title":"2002 11th European Signal Processing Conference, Toulouse, France, 3\u20136 September","author":"Lefebvre","year":"2002"},{"key":"2024021913314944000_ref16","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0923-5965(02)00130-3","article-title":"Content-based image copy detection","volume":"18","author":"Kim","year":"2003","journal-title":"Signal Process. Image Commun."},{"key":"2024021913314944000_ref17","doi-asserted-by":"crossref","first-page":"2415","DOI":"10.1016\/j.sigpro.2009.05.016","article-title":"A novel image hash algorithm resistant to print\u2013scan","volume":"89","author":"Wu","year":"2009","journal-title":"Signal Process."},{"key":"2024021913314944000_ref18","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.image.2011.04.007","article-title":"Robust image hash in Radon transform domain for authentication","volume":"26","author":"Lei","year":"2011","journal-title":"Signal Process. Image Commun."},{"key":"2024021913314944000_ref19","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1016\/j.dsp.2012.11.002","article-title":"Robust image hashing using non-uniform sampling in discrete Fourier domain","volume":"23","author":"Qin","year":"2013","journal-title":"Digit. Signal Process."},{"key":"2024021913314944000_ref20","doi-asserted-by":"crossref","DOI":"10.1109\/TCSVT.2022.3190273","article-title":"Perceptual hashing with complementary color wavelet transform and compressed sensing for reduced-reference image quality assessment","volume":"32","author":"Yu","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2024021913314944000_ref21","first-page":"121","volume-title":"Proceedings of the 9th workshop on Multimedia & security, Dallas, TX, 20\u201321 September","author":"Xiang","year":"2007"},{"key":"2024021913314944000_ref22","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11042-010-0724-7","article-title":"Image hash generation method using hierarchical histogram","volume":"61","author":"Choi","year":"2012","journal-title":"Multimed. Tools Appl."},{"key":"2024021913314944000_ref23","doi-asserted-by":"crossref","first-page":"6585","DOI":"10.1007\/s11042-015-2591-8","article-title":"Robust hash generation technique for content-based image authentication using histogram","volume":"75","author":"Vadlamudi","year":"2016","journal-title":"Multimed. Tools Appl."},{"key":"2024021913314944000_ref24","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.sigpro.2017.02.008","article-title":"Robust image hashing with multidimensional scaling","volume":"137","author":"Tang","year":"2017","journal-title":"Signal Process."},{"key":"2024021913314944000_ref25","doi-asserted-by":"crossref","first-page":"4639","DOI":"10.1007\/s11042-015-2496-6","article-title":"Perceptual image hashing using center-symmetric local binary patterns","volume":"75","author":"Davarzani","year":"2016","journal-title":"Multimed. Tools Appl."},{"key":"2024021913314944000_ref26","first-page":"506","volume-title":"Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, 27 June\u20132 July","author":"Ke","year":"2004"},{"key":"2024021913314944000_ref27","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1109\/TMM.2017.2703636","article-title":"Graph PCA hashing for similarity search","volume":"19","author":"Zhu","year":"2017","journal-title":"IEEE Trans. Multimed."},{"key":"2024021913314944000_ref28","article-title":"Efficient hashing method using 2D-2D PCA for image copy detection","author":"Liang","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2024021913314944000_ref29","article-title":"Robust image hashing with isomap and saliency map for copy detection","author":"Liang","year":"2021","journal-title":"IEEE Trans. Multimed."},{"key":"2024021913314944000_ref30","doi-asserted-by":"crossref","first-page":"4523","DOI":"10.1109\/TCSVT.2020.3047142","article-title":"Perceptual image hashing for content authentication based on convolutional neural network with multiple constraints","volume":"31","author":"Qin","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2024021913314944000_ref31","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.neucom.2019.11.119","article-title":"TDHPPIR: An efficient deep hashing based privacy-preserving image retrieval method","volume":"406","author":"Zhang","year":"2020","journal-title":"Neurocomputing"},{"key":"2024021913314944000_ref32","doi-asserted-by":"crossref","first-page":"3420","DOI":"10.1109\/TGRS.2020.3007533","article-title":"Deep hash learning for remote sensing image retrieval","volume":"59","author":"Liu","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2024021913314944000_ref33","first-page":"4773","volume-title":"ICASSP 2022\u20132022 IEEE International Conference on Acoustics, Speech and Signal Processing, Singapore, 23\u201327 May","author":"Jose","year":"2022"},{"key":"2024021913314944000_ref34","first-page":"1","article-title":"Robust image hashing through DWT-SVD and spectral residual method","volume":"1","author":"Karsh","year":"2017","journal-title":"EURASIP J. Image Video Process."},{"key":"2024021913314944000_ref35","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TIFS.2012.2223680","article-title":"Robust hashing for image authentication using Zernike moments and local features","volume":"8","author":"Zhao","year":"2012","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2024021913314944000_ref36","doi-asserted-by":"crossref","first-page":"6541","DOI":"10.1109\/TII.2019.2921652","article-title":"Robust image hashing based efficient authentication for smart industrial environment","volume":"15","author":"Sajjad","year":"2019","journal-title":"IEEE Trans. Industr. Inform."},{"key":"2024021913314944000_ref43","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.cose.2016.07.006","article-title":"Robust image hashing via DCT and LLE","volume":"62","author":"Tang","year":"2016","journal-title":"Comput. Secur."},{"key":"2024021913314944000_ref47","doi-asserted-by":"crossref","first-page":"1516","DOI":"10.1109\/TMM.2020.2999188","article-title":"Perceptual image hashing with texture and invariant vector distance for copy detection","volume":"23","author":"Huang","year":"2020","journal-title":"IEEE Trans. Multimed."},{"key":"2024021913314944000_ref37"},{"key":"2024021913314944000_ref38"},{"key":"2024021913314944000_ref39","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/79.879339","article-title":"Watermarking schemes evaluation","volume":"17","author":"Petitcolas","year":"2000","journal-title":"IEEE Signal Process. Mag."},{"key":"2024021913314944000_ref40","first-page":"472","volume-title":"Proceedings of SPIE, Storage and Retrieval Methods and Applications for Multimedia","author":"Schaefer","year":"2003"},{"key":"2024021913314944000_ref41"},{"key":"2024021913314944000_ref42","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","article-title":"An introduction to ROC analysis","volume":"27","author":"Fawcett","year":"2006","journal-title":"Pattern Recogn. Lett."},{"key":"2024021913314944000_ref44","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.aeue.2016.03.010","article-title":"Robust image hashing based on color vector angle and Canny operator","volume":"70","author":"Tang","year":"2016","journal-title":"AEU Int. J. Electron. Commun."},{"key":"2024021913314944000_ref45","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.sigpro.2017.07.019","article-title":"Perceptual hashing for color images based on hybrid extraction of structural features","volume":"142","author":"Qin","year":"2018","journal-title":"Signal Process."},{"key":"2024021913314944000_ref46","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1109\/TKDE.2018.2837745","article-title":"Robust image hashing with tensor decomposition","volume":"31","author":"Tang","year":"2018","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2024021913314944000_ref48","first-page":"49","volume-title":"Proceedings ELMAR-2013, Zadar, Croatia, 25\u201327 September","author":"Tralic","year":"2013"},{"key":"2024021913314944000_ref49","doi-asserted-by":"crossref","first-page":"3506","DOI":"10.1109\/TMM.2020.3026868","article-title":"A serial image copy-move forgery localization scheme with source\/target distinguishment","volume":"23","author":"Chen","year":"2020","journal-title":"IEEE Trans. Multimed."},{"key":"2024021913314944000_ref50","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jvcir.2018.03.015","article-title":"A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform","volume":"53","author":"Mahmood","year":"2018","journal-title":"J. Vis. Commun. 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