{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:03:47Z","timestamp":1780542227364,"version":"3.54.1"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100018530","name":"Major Science and Technology Projects in Anhui Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018530","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing: Image Communication"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.image.2026.117606","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T07:34:32Z","timestamp":1779780872000},"page":"117606","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Invertible network with adaptive projection transform and cross-flow attention for real-world image denoising"],"prefix":"10.1016","volume":"147","author":[{"given":"Yiping","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7114-2212","authenticated-orcid":false,"given":"Kui","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benyue","family":"Su","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali Abdullah","family":"Yahya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.image.2026.117606_b1","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.inffus.2019.09.003","article-title":"Image denoising review: From classical to state-of-the-art approaches","volume":"55","author":"Goyal","year":"2020","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.image.2026.117606_b2","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.neunet.2020.07.025","article-title":"Deep learning on image denoising: An overview","volume":"131","author":"Tian","year":"2020","journal-title":"Neural Netw."},{"key":"10.1016\/j.image.2026.117606_b3","series-title":"Nice: Non-linear independent components estimation","author":"Dinh","year":"2014"},{"key":"10.1016\/j.image.2026.117606_b4","series-title":"Density estimation using real nvp","author":"Dinh","year":"2016"},{"key":"10.1016\/j.image.2026.117606_b5","article-title":"The reversible residual network: Backpropagation without storing activations","volume":"30","author":"Gomez","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.image.2026.117606_b6","series-title":"Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part I 16","first-page":"126","article-title":"Invertible image rescaling","author":"Xiao","year":"2020"},{"key":"10.1016\/j.image.2026.117606_b7","doi-asserted-by":"crossref","unstructured":"J. Jing, X. Deng, M. Xu, J. Wang, Z. Guan, HiNet: deep image hiding by invertible network, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2021, pp. 4733\u20134742.","DOI":"10.1109\/ICCV48922.2021.00469"},{"key":"10.1016\/j.image.2026.117606_b8","doi-asserted-by":"crossref","unstructured":"Y. Xu, C. Mou, Y. Hu, J. Xie, J. Zhang, Robust invertible image steganography, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 7875\u20137884.","DOI":"10.1109\/CVPR52688.2022.00772"},{"key":"10.1016\/j.image.2026.117606_b9","doi-asserted-by":"crossref","unstructured":"Y. Zhu, J. Huang, X. Fu, F. Zhao, Q. Sun, Z.J. Zha, Bijective mapping network for shadow removal, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 5627\u20135636.","DOI":"10.1109\/CVPR52688.2022.00554"},{"key":"10.1016\/j.image.2026.117606_b10","doi-asserted-by":"crossref","unstructured":"Y. Liu, Z. Qin, S. Anwar, P. Ji, D. Kim, S. Caldwell, T. Gedeon, Invertible denoising network: A light solution for real noise removal, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 13365\u201313374.","DOI":"10.1109\/CVPR46437.2021.01316"},{"key":"10.1016\/j.image.2026.117606_b11","series-title":"Fino: Flow-based joint image and noise model","author":"Guo","year":"2021"},{"key":"10.1016\/j.image.2026.117606_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2024.105165","article-title":"Hierarchical disentangled representation for image denoising and beyond","volume":"149","author":"Du","year":"2024","journal-title":"Image Vis. Comput."},{"issue":"24","key":"10.1016\/j.image.2026.117606_b13","doi-asserted-by":"crossref","first-page":"9844","DOI":"10.3390\/s22249844","article-title":"Disentangling noise from images: A flow-based image denoising neural network","volume":"22","author":"Liu","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.image.2026.117606_b14","doi-asserted-by":"crossref","unstructured":"S. Cheng, Y. Wang, H. Huang, D. Liu, H. Fan, S. Liu, Nbnet: Noise basis learning for image denoising with subspace projection, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 4896\u20134906.","DOI":"10.1109\/CVPR46437.2021.00486"},{"key":"10.1016\/j.image.2026.117606_b15","series-title":"Visual attention methods in deep learning: An in-depth survey","author":"Hassanin","year":"2022"},{"key":"10.1016\/j.image.2026.117606_b16","doi-asserted-by":"crossref","unstructured":"A. Abdelhamed, S. Lin, M.S. Brown, A high-quality denoising dataset for smartphone cameras, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 1692\u20131700.","DOI":"10.1109\/CVPR.2018.00182"},{"key":"10.1016\/j.image.2026.117606_b17","doi-asserted-by":"crossref","unstructured":"T. Plotz, S. Roth, Benchmarking denoising algorithms with real photographs, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 1586\u20131595.","DOI":"10.1109\/CVPR.2017.294"},{"key":"10.1016\/j.image.2026.117606_b18","series-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"issue":"7","key":"10.1016\/j.image.2026.117606_b19","doi-asserted-by":"crossref","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","article-title":"Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising","volume":"26","author":"Zhang","year":"2017","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.image.2026.117606_b20","doi-asserted-by":"crossref","first-page":"4608","DOI":"10.1109\/TIP.2018.2839891","article-title":"FFDNet: Toward a fast and flexible solution for CNN-based image denoising","volume":"27","author":"Zhang","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.image.2026.117606_b21","doi-asserted-by":"crossref","unstructured":"S. Guo, Z. Yan, K. Zhang, W. Zuo, L. Zhang, Toward convolutional blind denoising of real photographs, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 1712\u20131722.","DOI":"10.1109\/CVPR.2019.00181"},{"key":"10.1016\/j.image.2026.117606_b22","article-title":"Variational denoising network: Toward blind noise modeling and removal","volume":"32","author":"Yue","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.image.2026.117606_b23","series-title":"2019 IEEE Applied Imagery Pattern Recognition Workshop","first-page":"1","article-title":"Exploring efficient and tunable convolutional blind image denoising networks","author":"Jaszewski","year":"2019"},{"key":"10.1016\/j.image.2026.117606_b24","doi-asserted-by":"crossref","unstructured":"S. Anwar, N. Barnes, Real image denoising with feature attention, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 3155\u20133164.","DOI":"10.1109\/ICCV.2019.00325"},{"key":"10.1016\/j.image.2026.117606_b25","doi-asserted-by":"crossref","unstructured":"Y. Liu, S. Anwar, L. Zheng, Q. Tian, Gradnet image denoising, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020, pp. 508\u2013509.","DOI":"10.1109\/CVPRW50498.2020.00262"},{"key":"10.1016\/j.image.2026.117606_b26","doi-asserted-by":"crossref","unstructured":"Y. Kim, J.W. Soh, G.Y. Park, N.I. Cho, Transfer learning from synthetic to real-noise denoising with adaptive instance normalization, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 3482\u20133492.","DOI":"10.1109\/CVPR42600.2020.00354"},{"key":"10.1016\/j.image.2026.117606_b27","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.neucom.2020.09.070","article-title":"Deep recursive network for image denoising with global non-linear smoothness constraint prior","volume":"426","author":"Wang","year":"2021","journal-title":"Neurocomputing"},{"issue":"8","key":"10.1016\/j.image.2026.117606_b28","doi-asserted-by":"crossref","first-page":"5124","DOI":"10.1109\/TCSVT.2022.3149518","article-title":"Deep image denoising with adaptive priors","volume":"32","author":"Jiang","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."}],"container-title":["Signal Processing: Image Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596526001293?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0923596526001293?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T02:33:03Z","timestamp":1780540383000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0923596526001293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":28,"alternative-id":["S0923596526001293"],"URL":"https:\/\/doi.org\/10.1016\/j.image.2026.117606","relation":{},"ISSN":["0923-5965"],"issn-type":[{"value":"0923-5965","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Invertible network with adaptive projection transform and cross-flow attention for real-world image denoising","name":"articletitle","label":"Article Title"},{"value":"Signal Processing: Image Communication","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.image.2026.117606","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"117606"}}