{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T23:25:37Z","timestamp":1766013937220,"version":"3.48.0"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"17","license":[{"start":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T00:00:00Z","timestamp":1764028800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T00:00:00Z","timestamp":1764028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176040"],"award-info":[{"award-number":["62176040"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s11760-025-04951-6","type":"journal-article","created":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T19:37:32Z","timestamp":1764099452000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dominant RGB channel coding: A simple and effective feature extraction method for moir\u00e9 pattern detection"],"prefix":"10.1007","volume":"19","author":[{"given":"Hanting","family":"Guan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wensheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,25]]},"reference":[{"issue":"4","key":"4951_CR1","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TIFS.2015.2400395","volume":"10","author":"D Wen","year":"2015","unstructured":"Wen, D., Han, H., Jain, A.K.: Face spoof detection with image distortion analysis. IEEE Trans. Inf. Forensics Secur. 10(4), 746\u2013761 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"10","key":"4951_CR2","doi-asserted-by":"publisher","first-page":"2268","DOI":"10.1109\/TIFS.2016.2578288","volume":"11","author":"K Patel","year":"2016","unstructured":"Patel, K., Han, H., Jain, A.K.: Secure face unlock: Spoof detection on smartphones. IEEE Trans. Inf. Forensics Secur. 11(10), 2268\u20132283 (2016)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"4","key":"4951_CR3","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1145\/571637.571638","volume":"20","author":"L Zhou","year":"2002","unstructured":"Zhou, L., Schneider, F.B., Van Renesse, R.: Coca: A secure distributed online certification authority. ACM Transactions on Computer Systems (TOCS) 20(4), 329\u2013368 (2002)","journal-title":"ACM Transactions on Computer Systems (TOCS)"},{"issue":"5","key":"4951_CR4","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1109\/TIFS.2015.2392566","volume":"10","author":"T Thongkamwitoon","year":"2015","unstructured":"Thongkamwitoon, T., Muammar, H., Dragotti, P.-L.: An image recapture detection algorithm based on learning dictionaries of edge profiles. IEEE Trans. Inf. Forensics Secur. 10(5), 953\u2013968 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"3","key":"4951_CR5","doi-asserted-by":"publisher","first-page":"030803","DOI":"10.1117\/1.OE.57.3.030803","volume":"57","author":"V Saveljev","year":"2018","unstructured":"Saveljev, V., Kim, S.-K., Kim, J.: Moir\u00e9 effect in displays: a tutorial. Opt. Eng. 57(3), 030803\u2013030803 (2018)","journal-title":"Opt. Eng."},{"issue":"3","key":"4951_CR6","doi-asserted-by":"publisher","first-page":"3128","DOI":"10.1364\/OE.22.003128","volume":"22","author":"S-J Byun","year":"2014","unstructured":"Byun, S.-J., Byun, S.Y., Lee, J., Kim, W.M., Kim, H.-P., Jeon, M.Y., Lee, T.-S.: An efficient simulation and analysis method of moir\u00e9 patterns in display systems. Opt. Express 22(3), 3128\u20133136 (2014)","journal-title":"Opt. Express"},{"issue":"4","key":"4951_CR7","doi-asserted-by":"publisher","first-page":"778","DOI":"10.1109\/TIFS.2015.2411394","volume":"10","author":"DC Garcia","year":"2015","unstructured":"Garcia, D.C., Queiroz, R.L.: Face-spoofing 2d-detection based on moir\u00e9-pattern analysis. IEEE Trans. Inf. Forensics Secur. 10(4), 778\u2013786 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"4951_CR8","doi-asserted-by":"crossref","unstructured":"Abraham, E.: Moir\u00e9 pattern detection using wavelet decomposition and convolutional neural network. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1275\u20131279 (2018). IEEE","DOI":"10.1109\/SSCI.2018.8628746"},{"key":"4951_CR9","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1109\/TIP.2022.3232232","volume":"32","author":"C Yang","year":"2023","unstructured":"Yang, C., Yang, Z., Ke, Y., Chen, T., Grzegorzek, M., See, J.: Doing more with moir\u00e9 pattern detection in digital photos. IEEE Trans. Image Process. 32, 694\u2013708 (2023)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"4951_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3197517.3201283","volume":"37","author":"T-H Kim","year":"2018","unstructured":"Kim, T.-H., Park, S.I.: Deep context-aware descreening and rescreening of halftone images. ACM Transactions on Graphics (TOG) 37(4), 1\u201312 (2018)","journal-title":"ACM Transactions on Graphics (TOG)"},{"issue":"8","key":"4951_CR11","doi-asserted-by":"publisher","first-page":"4160","DOI":"10.1109\/TIP.2018.2834737","volume":"27","author":"Y Sun","year":"2018","unstructured":"Sun, Y., Yu, Y., Wang, W.: Moir\u00e9 photo restoration using multiresolution convolutional neural networks. IEEE Trans. Image Process. 27(8), 4160\u20134172 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"4951_CR12","unstructured":"Liu, B., Shu, X., Wu, X.: Demoir\u00e9ing of camera-captured screen images using deep convolutional neural network. arXiv preprint arXiv:1804.03809 (2018)"},{"key":"4951_CR13","doi-asserted-by":"crossref","unstructured":"He, B., Wang, C., Shi, B., Duan, L.-Y.: Mop moire patterns using mopnet. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2424\u20132432 (2019)","DOI":"10.1109\/ICCV.2019.00251"},{"key":"4951_CR14","doi-asserted-by":"crossref","unstructured":"Patel, K., Han, H., Jain, A.K., Ott, G.: Live face video vs. spoof face video: Use of moir\u00e9 patterns to detect replay video attacks. In: 2015 International Conference on Biometrics (ICB), 98\u2013105 (2015). IEEE","DOI":"10.1109\/ICB.2015.7139082"},{"key":"4951_CR15","volume-title":"Digital Picture Processing","author":"A Rosenfeld","year":"1976","unstructured":"Rosenfeld, A.: Digital Picture Processing. Academic Press, New York (1976)"},{"key":"4951_CR16","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Advances in neural information processing systems 27 (2014)"},{"key":"4951_CR17","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 (2015)"},{"key":"4951_CR18","unstructured":"Roth, K., Lucchi, A., Nowozin, S., Hofmann, T.: Stabilizing training of generative adversarial networks through regularization. Advances in neural information processing systems 30 (2017)"},{"key":"4951_CR19","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196 (2017)"},{"key":"4951_CR20","doi-asserted-by":"crossref","unstructured":"Li, C., Wand, M.: Precomputed real-time texture synthesis with markovian generative adversarial networks. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part III 14, 702\u2013716 (2016). Springer","DOI":"10.1007\/978-3-319-46487-9_43"},{"key":"4951_CR21","unstructured":"Vondrick, C., Pirsiavash, H., Torralba, A.: Generating videos with scene dynamics. Advances in neural information processing systems 29 (2016)"},{"key":"4951_CR22","unstructured":"Liu, L., Zhang, C., Tao, D.: Gan-mdf: A method for multi-fidelity data fusion in digital twins. arXiv preprint arXiv:2106.14655 (2021)"},{"key":"4951_CR23","doi-asserted-by":"crossref","unstructured":"Li, W., Wang, C., Guan, H., Wang, J., Yang, J., Zhang, C., Tao, D.: Generative adversarial physics-informed neural networks for solving forward and inverse problem with small labeled samples. Computers & Mathematics with Applications 183, 98\u2013120 (2025)","DOI":"10.1016\/j.camwa.2025.01.025"},{"key":"4951_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108035","volume":"162","author":"C Zhang","year":"2022","unstructured":"Zhang, C., Liang, M., Song, X., Liu, L., Wang, H., Li, W., Shi, M.: Generative adversarial network for geological prediction based on tbm operational data. Mech. Syst. Signal Process. 162, 108035 (2022)","journal-title":"Mech. Syst. Signal Process."},{"key":"4951_CR25","doi-asserted-by":"crossref","unstructured":"He, B., Wang, C., Shi, B., Duan, L.-Y.: Fhde 2 net: Full high definition demoireing network. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXII 16, pp. 713\u2013729 (2020). Springer","DOI":"10.1007\/978-3-030-58542-6_43"},{"key":"4951_CR26","doi-asserted-by":"crossref","unstructured":"Yue, H., Mao, Y., Liang, L., Xu, H., Hou, C., Yang, J.: Recaptured screen image demoir\u00e9ing. IEEE Trans. Circuits Syst. Video Technol. 31(1), 49\u201360 (2020)","DOI":"10.1109\/TCSVT.2020.2969984"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04951-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04951-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04951-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T23:20:50Z","timestamp":1766013650000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04951-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,25]]},"references-count":26,"journal-issue":{"issue":"17","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["4951"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04951-6","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,11,25]]},"assertion":[{"value":"25 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 November 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"1386"}}