{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T12:40:12Z","timestamp":1758976812497,"version":"3.44.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"33","license":[{"start":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T00:00:00Z","timestamp":1743206400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T00:00:00Z","timestamp":1743206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-025-20717-1","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T23:40:47Z","timestamp":1744069247000},"page":"41041-41060","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Robust watermarking algorithm based on dual-branch and adaptive noise weighting"],"prefix":"10.1007","volume":"84","author":[{"given":"Chen","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tilin","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2322-9195","authenticated-orcid":false,"given":"Jiahao","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihua","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,3,29]]},"reference":[{"issue":"5","key":"20717_CR1","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1109\/LSP.2006.870357","volume":"13","author":"J Mielikainen","year":"2006","unstructured":"Mielikainen J (2006) Lsb matching revisited. IEEE Signal Process Lett 13(5):285\u2013287","journal-title":"IEEE Signal Process Lett"},{"issue":"1","key":"20717_CR2","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/83.817598","volume":"9","author":"JR Hernandez","year":"2000","unstructured":"Hernandez JR, Amado M, Perez-Gonzalez F (2000) Dct-domain watermarking techniques for still images: Detector performance analysis and a new structure. IEEE Trans Image Process 9(1):55\u201368","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"20717_CR3","doi-asserted-by":"publisher","first-page":"920","DOI":"10.1109\/TIFS.2011.2134094","volume":"6","author":"T Filler","year":"2011","unstructured":"Filler T, Judas J, Fridrich J (2011) Minimizing additive distortion in steganography using syndrome-trellis codes. IEEE Trans Inf Forensics Secur 6(3):920\u2013935","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"20717_CR4","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1134\/S105466181904014X","volume":"29","author":"A Rasmi","year":"2019","unstructured":"Rasmi A, Arunkumar B, Anees VM (2019) A comprehensive review of digital data hiding techniques. Pattern Recognit Image Anal 29:639\u2013646","journal-title":"Pattern Recognit Image Anal"},{"key":"20717_CR5","unstructured":"Baluja S (2017) Hiding images in plain sight: Deep steganography. Adv Neural Inf Process Syst 30"},{"issue":"7","key":"20717_CR6","doi-asserted-by":"publisher","first-page":"1685","DOI":"10.1109\/TPAMI.2019.2901877","volume":"42","author":"S Baluja","year":"2019","unstructured":"Baluja S (2019) Hiding images within images. IEEE Trans Pattern Anal Mach Intell 42(7):1685\u20131697","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"20717_CR7","doi-asserted-by":"crossref","unstructured":"Jing J, Deng X, Xu M, Wang J, Guan Z (2021) Hinet: Deep image hiding by invertible network. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 4733\u20134742","DOI":"10.1109\/ICCV48922.2021.00469"},{"issue":"1","key":"20717_CR8","doi-asserted-by":"publisher","first-page":"372","DOI":"10.1109\/TPAMI.2022.3141725","volume":"45","author":"Z Guan","year":"2022","unstructured":"Guan Z, Jing J, Deng X, Xu M, Jiang L, Zhang Z, Li Y (2022) Deepmih: Deep invertible network for multiple image hiding. IEEE Trans Pattern Anal Mach Intell 45(1):372\u2013390","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"20717_CR9","unstructured":"Rahim R, Nadeem S et al (2018) End-to-end trained cnn encoder-decoder networks for image steganography. In: Proceedings of the European conference on computer vision (ECCV) workshops, pp 0\u20130"},{"key":"20717_CR10","doi-asserted-by":"crossref","unstructured":"Zhu J, Kaplan R, Johnson J, Fei-Fei L (2018) Hidden: Hiding data with deep networks. In: Proceedings of the European conference on computer vision (ECCV), pp 657\u2013672","DOI":"10.1007\/978-3-030-01267-0_40"},{"key":"20717_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113157","volume":"146","author":"M Ahmadi","year":"2020","unstructured":"Ahmadi M, Norouzi A, Karimi N, Samavi S, Emami A (2020) Redmark: Framework for residual diffusion watermarking based on deep networks. Expert Syst Appl 146:113157","journal-title":"Expert Syst Appl"},{"key":"20717_CR12","doi-asserted-by":"crossref","unstructured":"Liu Y, Guo M, Zhang J, Zhu Y, Xie X (2019) A novel two-stage separable deep learning framework for practical blind watermarking. In: Proceedings of the 27th ACM international conference on multimedia, pp 1509\u20131517","DOI":"10.1145\/3343031.3351025"},{"key":"20717_CR13","doi-asserted-by":"crossref","unstructured":"Xu Y, Mou C, Hu Y, Xie J, Zhang J (2022) Robust invertible image steganography. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 7875\u20137884","DOI":"10.1109\/CVPR52688.2022.00772"},{"key":"20717_CR14","unstructured":"Yu J, Zhang X, Xu Y, Zhang J (2024) Cross: Diffusion model makes controllable, robust and secure image steganography. Adv Neural Inf Process Syst 36"},{"key":"20717_CR15","doi-asserted-by":"crossref","unstructured":"Wengrowski E, Dana K (2019) Light field messaging with deep photographic steganography. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 1515\u20131524","DOI":"10.1109\/CVPR.2019.00161"},{"issue":"4","key":"20717_CR16","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/103085.103089","volume":"34","author":"GK Wallace","year":"1991","unstructured":"Wallace GK (1991) The jpeg still picture compression standard. Commun ACM 34(4):30\u201344","journal-title":"Commun ACM"},{"key":"20717_CR17","unstructured":"Yu J, Zhang X, Xu Y, Zhang J (2024) Cross: Diffusion model makes controllable, robust and secure image steganography. Adv Neural Inf Process Syst 36"},{"key":"20717_CR18","unstructured":"Yang Y, Liu Z, Jia J, Gao Z, Li Y, Sun W, Liu X, Zhai G (2024) Diffstega: Towards universal training-free coverless image steganography with diffusion models. arXiv preprint arXiv:2407.10459"},{"key":"20717_CR19","doi-asserted-by":"crossref","unstructured":"Hu X, Li S, Ying Q, Peng W, Zhang X, Qian Z (2024) Establishing robust generative image steganography via popular stable diffusion. IEEE Trans Inf Forensic Sec","DOI":"10.1109\/TIFS.2024.3444311"},{"key":"20717_CR20","doi-asserted-by":"crossref","unstructured":"Tancik M, Mildenhall B, Ng R (2020) Stegastamp: Invisible hyperlinks in physical photographs. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 2117\u20132126","DOI":"10.1109\/CVPR42600.2020.00219"},{"key":"20717_CR21","doi-asserted-by":"crossref","unstructured":"Zhang C, Karjauv A, Benz P, Kweon IS (2021) Towards robust deep hiding under non-differentiable distortions for practical blind watermarking. In: Proceedings of the 29th ACM international conference on multimedia, pp 5158\u20135166","DOI":"10.1145\/3474085.3475628"},{"key":"20717_CR22","doi-asserted-by":"crossref","unstructured":"Jia Z, Fang H, Zhang W 2021 Mbrs: Enhancing robustness of dnn-based watermarking by mini-batch of real and simulated jpeg compression. In: Proceedings of the 29th ACM international conference on multimedia, pp 41\u201349","DOI":"10.1145\/3474085.3475324"},{"key":"20717_CR23","doi-asserted-by":"crossref","unstructured":"Ma R, Guo M, Hou Y, Yang F, Li Y, Jia H, Xie X (2022) Towards blind watermarking: Combining invertible and non-invertible mechanisms. In: Proceedings of the 30th ACM international conference on multimedia, pp 1532\u20131542","DOI":"10.1145\/3503161.3547950"},{"key":"20717_CR24","first-page":"10223","volume":"33","author":"C Zhang","year":"2020","unstructured":"Zhang C, Benz P, Karjauv A, Sun G, Kweon IS (2020) Udh: Universal deep hiding for steganography, watermarking, and light field messaging. Adv Neural Inf Process Syst 33:10223\u201310234","journal-title":"Adv Neural Inf Process Syst"},{"key":"20717_CR25","doi-asserted-by":"crossref","unstructured":"Hu J, Shen L, Sun G (2018) Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7132\u20137141","DOI":"10.1109\/CVPR.2018.00745"},{"key":"20717_CR26","doi-asserted-by":"crossref","unstructured":"Lin TY, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: Common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, Springer, pp 740\u2013755","DOI":"10.1007\/978-3-319-10602-1_48"},{"issue":"4","key":"20717_CR27","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"key":"20717_CR28","doi-asserted-by":"crossref","unstructured":"Luo X, Zhan R, Chang H, Yang F, Milanfar P (2020) Distortion agnostic deep watermarking. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 13548\u201313557","DOI":"10.1109\/CVPR42600.2020.01356"},{"key":"20717_CR29","doi-asserted-by":"crossref","unstructured":"Zhang R, Isola P, Efros AA, Shechtman E, Wang O (2018) The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 586\u2013595","DOI":"10.1109\/CVPR.2018.00068"},{"key":"20717_CR30","doi-asserted-by":"crossref","unstructured":"Yu C (2020) Attention based data hiding with generative adversarial networks. In: Proceedings of the AAAI conference on artificial intelligence, vol 34. pp 1120\u20131128","DOI":"10.1609\/aaai.v34i01.5463"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-025-20717-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-025-20717-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-025-20717-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T11:58:04Z","timestamp":1758974284000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-025-20717-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,29]]},"references-count":30,"journal-issue":{"issue":"33","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["20717"],"URL":"https:\/\/doi.org\/10.1007\/s11042-025-20717-1","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2025,3,29]]},"assertion":[{"value":"23 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}