{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:01:44Z","timestamp":1780606904776,"version":"3.54.1"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Communication and Image Representation"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.jvcir.2026.104816","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T15:25:56Z","timestamp":1776525956000},"page":"104816","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["An efficient network with dual-path feature enhancement and dual-attention bottlenecks for spatial image steganalysis"],"prefix":"10.1016","volume":"118","author":[{"given":"Weiping","family":"Zou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haojun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhipeng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengqi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jvcir.2026.104816_b0005","doi-asserted-by":"crossref","unstructured":"V. Holub, J. Fridrich, Designing steganographic distortion using directional filters, in Proc. IEEE Int. Workshop Inf. Forensics Secur. (WIFS), Tenerife, Spain, Dec. 2012, pp. 234\u2013239, doi: 10.1109\/WIFS.2012.6412655.","DOI":"10.1109\/WIFS.2012.6412655"},{"key":"10.1016\/j.jvcir.2026.104816_b0010","first-page":"2014","article-title":"Universal distortion function for steganography in an arbitrary domain","volume":"Art. no. 1","author":"Holub","year":"2014","journal-title":"EURASIP J. Inf. Secur."},{"issue":"5","key":"10.1016\/j.jvcir.2026.104816_b0015","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1109\/TIFS.2018.2871749","article-title":"Deep residual network for steganalysis of digital images","volume":"14","author":"Boroumand","year":"2019","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.jvcir.2026.104816_b0020","doi-asserted-by":"crossref","first-page":"1138","DOI":"10.1109\/TIFS.2019.2936913","article-title":"Depth-wise separable convolutions and multi-level pooling for an efficient spatial CNN-based steganalysis","volume":"15","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.jvcir.2026.104816_b0025","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/TIFS.2020.3013204","article-title":"A Siamese CNN for image steganalysis","volume":"16","author":"You","year":"2021","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"3","key":"10.1016\/j.jvcir.2026.104816_b0030","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1109\/TIFS.2012.2190402","article-title":"Rich models for steganalysis of digital images","volume":"7","author":"Fridrich","year":"2012","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"2","key":"10.1016\/j.jvcir.2026.104816_b0035","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1109\/TIFS.2011.2175919","article-title":"Ensemble classifiers for steganalysis of digital media","volume":"7","author":"Kodovsk\u00fd","year":"2012","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.jvcir.2026.104816_b0040","doi-asserted-by":"crossref","unstructured":"Y. Qian, J. Dong, W. Wang, T. Tan, Deep learning for steganalysis via convolutional neural networks, in Proc. SPIE 9409, Media Watermarking, Security, and Forensics 2015, San Francisco, CA, USA, 2015, Art. no. 94090J, doi: 10.1117\/12.2083479.","DOI":"10.1117\/12.2083479"},{"issue":"5","key":"10.1016\/j.jvcir.2026.104816_b0045","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1109\/LSP.2016.2548421","article-title":"Structural design of convolutional neural networks for steganalysis","volume":"23","author":"Xu","year":"2016","journal-title":"IEEE Signal Process Lett."},{"issue":"11","key":"10.1016\/j.jvcir.2026.104816_b0050","doi-asserted-by":"crossref","first-page":"2545","DOI":"10.1109\/TIFS.2017.2710946","article-title":"Deep learning hierarchical representations for image steganalysis","volume":"12","author":"Ye","year":"2017","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.jvcir.2026.104816_b0055","doi-asserted-by":"crossref","unstructured":"M. Yedroudj, F. Comby, M. Chaumont, Yedroudj-Net: An efficient CNN for spatial steganalysis, in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Calgary, AB, Canada, Apr. 2018, pp. 2092\u20132096, doi: 10.1109\/ICASSP.2018.8461438.","DOI":"10.1109\/ICASSP.2018.8461438"},{"key":"10.1016\/j.jvcir.2026.104816_b0060","doi-asserted-by":"crossref","first-page":"1888","DOI":"10.1109\/LSP.2022.3201727","article-title":"Lightweight and effective deep image steganalysis network","volume":"29","author":"Weng","year":"2022","journal-title":"IEEE Signal Process Lett."},{"key":"10.1016\/j.jvcir.2026.104816_b0065","doi-asserted-by":"crossref","unstructured":"Y. Cao, Y. Hu, M. Liu, K. Wei, R. Zhao, W. Luo, X. Luo, A self-distillation framework with feature pyramids and auxiliary classifiers for image steganalysis, Signal Image Video Process., vol. 19, Art. no. 1453, 2025, doi: 10.1007\/s11760-025-05048-w.","DOI":"10.1007\/s11760-025-05048-w"},{"issue":"10","key":"10.1016\/j.jvcir.2026.104816_b0070","doi-asserted-by":"crossref","first-page":"7444","DOI":"10.1002\/int.22888","article-title":"Progressive selection-channel networks for image steganalysis","volume":"37","author":"Wu","year":"2022","journal-title":"Int. J. Intell. Syst."},{"key":"10.1016\/j.jvcir.2026.104816_b0075","doi-asserted-by":"crossref","unstructured":"J. Yang, X. Kang, E. K. Wong, Y.-Q. Shi, Deep learning with feature reuse for JPEG image steganalysis, in Proc. Asia-Pacific Signal Inf. Process. Assoc. Annu. Summit Conf. (APSIPA ASC), 2018, pp. 533\u2013538, doi: 10.23919\/APSIPA.2018.8659589.","DOI":"10.23919\/APSIPA.2018.8659589"},{"issue":"3","key":"10.1016\/j.jvcir.2026.104816_b0080","doi-asserted-by":"crossref","DOI":"10.1177\/1550147720911002","article-title":"IAS-CNN: image adaptive steganalysis via convolutional neural network combined with selection channel","volume":"16","author":"Jin","year":"2020","journal-title":"Int. J. Distrib. Sens. Netw."},{"issue":"14","key":"10.1016\/j.jvcir.2026.104816_b0085","doi-asserted-by":"crossref","first-page":"19471","DOI":"10.1007\/s11042-021-11862-4","article-title":"Image steganalysis based on attention augmented convolution","volume":"81","author":"Huang","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"10.1016\/j.jvcir.2026.104816_b0090","doi-asserted-by":"crossref","unstructured":"M. A. Bravo-Ortiz, E. Mercado-Ruiz, J. P. Villa-Pulgarin, C. A. Hormaza-Cardona, S. Qui\u00f1ones-Arredondo, H. B. Arteaga-Arteaga, S. Orozco-Arias, O. Cardona-Morales, R. Tabares-Soto, CVTStego-Net: A convolutional vision transformer architecture for spatial image steganalysis, J. Inf. Secur. Appl., vol. 81, Art. no. 103695, 2024, doi: 10.1016\/j.jisa.2023.103695.","DOI":"10.1016\/j.jisa.2023.103695"},{"key":"10.1016\/j.jvcir.2026.104816_b0095","doi-asserted-by":"crossref","unstructured":"G. Luo, P. Wei, S. Zhu, X. Zhang, Z. Qian, S. Li, Image steganalysis with convolutional vision transformer, in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Singapore, May 2022, pp. 3089\u20133093, doi: 10.1109\/ICASSP43922.2022.9747091.","DOI":"10.1109\/ICASSP43922.2022.9747091"},{"issue":"2","key":"10.1016\/j.jvcir.2026.104816_b0100","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s11390-023-3006-3","article-title":"CTNet: a convolutional transformer network for color image steganalysis","volume":"40","author":"Wei","year":"2025","journal-title":"J. Comput. Sci. Technol."},{"key":"10.1016\/j.jvcir.2026.104816_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.124796","article-title":"A two-stream-network-based steganalysis network: TSNet","volume":"255","author":"Guo","year":"2024","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jvcir.2026.104816_b0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2022.103633","article-title":"CCNet: CNN model with channel attention and convolutional pooling mechanism for spatial image steganalysis","volume":"88","author":"Fu","year":"2022","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104816_b0115","article-title":"A novel hybrid network model for image steganalysis","volume":"105","author":"Yang","year":"2024","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104816_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2025.104542","article-title":"PSDR-SNet: Siamese network of potential steganographic signal difference regions for image steganalysis","volume":"111","author":"Su","year":"2025","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104816_b0125","doi-asserted-by":"crossref","DOI":"10.1109\/LGRS.2026.3686887","article-title":"SCAFNet: A semantic compensated adaptive fusion network for remote sensing images change detection","volume":"23","author":"Zhang","year":"2026","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.jvcir.2026.104816_b0130","first-page":"1","article-title":"ORSI salient object detection via progressive interaction and saliency-guided enhancement","volume":"23","author":"Zhang","year":"2026","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.jvcir.2026.104816_b0135","article-title":"An attack-resilient U-Net watermarking framework for copyright protection via adaptive weighting and resolution recovery","volume":"207","author":"Zou","year":"2026","journal-title":"Signal Process."},{"key":"10.1016\/j.jvcir.2026.104816_b0140","doi-asserted-by":"crossref","DOI":"10.1007\/s11071-025-11972-w","article-title":"Visually secure medical image encryption algorithm based on improved YOLOv11 and replacement strategy for region of interest","volume":"114","author":"Zhu","year":"2026","journal-title":"Nonlinear Dyn."},{"key":"10.1016\/j.jvcir.2026.104816_b0145","article-title":"Video saliency prediction via single feature enhancement and temporal recurrence","volume":"133","author":"Zhang","year":"2025","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.jvcir.2026.104816_b0150","doi-asserted-by":"crossref","first-page":"3616","DOI":"10.1109\/TIFS.2025.3549692","article-title":"EIS-OBEA: enhanced image steganalysis via opposition-based evolutionary algorithm","volume":"20","author":"Ma","year":"2025","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.jvcir.2026.104816_b0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2023.103900","article-title":"Adaptive multi-teacher softened relational knowledge distillation framework for payload mismatch in image steganalysis","volume":"95","author":"Yu","year":"2023","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"3","key":"10.1016\/j.jvcir.2026.104816_b0160","doi-asserted-by":"crossref","first-page":"1954","DOI":"10.1109\/TCSVT.2023.3295364","article-title":"Steganalysis feature selection with multidimensional evaluation and dynamic threshold allocation","volume":"34","author":"Ma","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104816_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2025.104525","article-title":"Feature aware-contrastive learning network for arbitrary-sized image steganalysis","volume":"111","author":"Li","year":"2025","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.jvcir.2026.104816_b0170","doi-asserted-by":"crossref","unstructured":"T. Pevn\u00fd, T. Filler,P. Bas, Using high-dimensional image models to perform highly undetectable steganography, in Proc. 12th Int. Workshop Inf. Hiding, Lecture Notes in Computer Science, vol. 6387, Calgary, AB, Canada, Jun. 2010, pp. 161\u2013177, doi: 10.1007\/978-3-642-16435-4_13.","DOI":"10.1007\/978-3-642-16435-4_13"},{"key":"10.1016\/j.jvcir.2026.104816_b0175","doi-asserted-by":"crossref","unstructured":"C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, \u201cGoing deeper with convolutions,\u201d in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Boston, MA, USA, Jun. 2015, pp. 1\u20139, doi: 10.1109\/CVPR.2015.7298594.","DOI":"10.1109\/CVPR.2015.7298594"},{"issue":"4","key":"10.1016\/j.jvcir.2026.104816_b0180","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1109\/TPAMI.2017.2699184","article-title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs","volume":"40","author":"Chen","year":"2018","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.jvcir.2026.104816_b0185","doi-asserted-by":"crossref","unstructured":"T.-Y. Lin, P. Doll\u00e1r, R. Girshick, K. He, B. Hariharan, S. Belongie, Feature pyramid networks for object detection, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Honolulu, HI, USA, Jul. 2017, pp. 936\u2013944, doi: 10.1109\/CVPR.2017.106.","DOI":"10.1109\/CVPR.2017.106"}],"container-title":["Journal of Visual Communication and Image Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001112?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001112?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T20:07:11Z","timestamp":1780603631000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047320326001112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":37,"alternative-id":["S1047320326001112"],"URL":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104816","relation":{},"ISSN":["1047-3203"],"issn-type":[{"value":"1047-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An efficient network with dual-path feature enhancement and dual-attention bottlenecks for spatial image steganalysis","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Communication and Image Representation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104816","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104816"}}