{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:16:54Z","timestamp":1740147414713,"version":"3.37.3"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"8-9","license":[{"start":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T00:00:00Z","timestamp":1717113600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T00:00:00Z","timestamp":1717113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Project of Industrial Technology Research and Development in Jilin Province","award":["2023C031-3"],"award-info":[{"award-number":["2023C031-3"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of Chongqing","doi-asserted-by":"crossref","award":["cstc2021jcyjmsxmX0145"],"award-info":[{"award-number":["cstc2021jcyjmsxmX0145"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11760-024-03266-2","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T19:02:05Z","timestamp":1717182125000},"page":"5719-5731","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["FAColorGAN: a dual-branch generative adversarial network for near-infrared image colorization"],"prefix":"10.1007","volume":"18","author":[{"given":"Jin","family":"Duan","sequence":"first","affiliation":[]},{"given":"Meiling","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Guangyu","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Weiqiang","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Suxin","family":"Mo","sequence":"additional","affiliation":[]},{"given":"Wenxue","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"issue":"3","key":"3266_CR1","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1145\/1015706.1015780","volume":"23","author":"A Levin","year":"2004","unstructured":"Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. ACM Trans. Graph. 23(3), 689\u2013694 (2004)","journal-title":"ACM Trans. Graph."},{"key":"3266_CR2","unstructured":"Luan, Q., Wen, F., Cohen-Or, D., Liang, L., Xu, Y.-Q., Shum, H.-Y.: Natural image colorization. In: Proceedings of the 18th Eurographics Conference on Rendering Techniques, pp. 309\u2013320 (2007)"},{"issue":"5","key":"3266_CR3","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/38.946629","volume":"21","author":"E Reinhard","year":"2001","unstructured":"Reinhard, E., Adhikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl. 21(5), 34\u201341 (2001)","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"3","key":"3266_CR4","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1145\/566654.566576","volume":"21","author":"T Welsh","year":"2002","unstructured":"Welsh, T., Ashikhmin, M., Mueller, K.: Transferring color to greyscale images. ACM Trans. Graph. 21(3), 277\u2013280 (2002)","journal-title":"ACM Trans. Graph."},{"issue":"2","key":"3266_CR5","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2015","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3266_CR6","doi-asserted-by":"crossref","unstructured":"Limmer, M., Lensch, H.P.A.: Infrared colorization using deep convolutional neural networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 61\u201368 (2016)","DOI":"10.1109\/ICMLA.2016.0019"},{"key":"3266_CR7","doi-asserted-by":"crossref","unstructured":"Xu, Z., Wang, T., Fang, F., Sheng, Y., & Zhang, G.: Stylization-based architecture for fast deep exemplar colorization, pp. 9363\u20139372 (2020)","DOI":"10.1109\/CVPR42600.2020.00938"},{"key":"3266_CR8","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27 (2014)"},{"key":"3266_CR9","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.patrec.2023.03.025","volume":"169","author":"AS Tomar","year":"2023","unstructured":"Tomar, A.S., Arya, K.V., Rajput, S.S.: Attentive ExFeat based deep generative adversarial network for noise robust face super-resolution. Pattern Recognit. Lett. 169, 58\u201366 (2023)","journal-title":"Pattern Recognit. Lett."},{"key":"3266_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2023.3244837","volume":"72","author":"AS Tomar","year":"2023","unstructured":"Tomar, A.S., Arya, K.V., Rajput, S.S.: Deep HyFeat based attention in attention model for face super-resolution. IEEE Trans. Instrum. Meas. 72, 1\u201311 (2023)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"3266_CR11","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"3266_CR12","doi-asserted-by":"crossref","unstructured":"Su\u00b4arez, P.L., Sappa, A.D., Vintimilla, B.X.: Infrared image colorization based on a triplet dcgan architecture. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 18\u201323 (2017)","DOI":"10.1109\/CVPRW.2017.32"},{"key":"3266_CR13","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/978-3-319-94544-6_9","volume-title":"Articulated Motion and Deformable Objects","author":"K Nazeri","year":"2018","unstructured":"Nazeri, K., Ng, E., Ebrahimi, M.: Image colorization using generative adversarial networks. In: Perales, F.J., Kittler, J. (eds.) Articulated Motion and Deformable Objects, pp. 85\u201394. Springer, Cham (2018)"},{"key":"3266_CR14","doi-asserted-by":"crossref","unstructured":"Perera, P., Abavisani, M., Patel, V.M.: In2i: unsupervised multi-image-to-image translation using generative adversarial networks. In: 2018 24th International Conference on Pattern Recognition, pp. 140\u2013146 (2018)","DOI":"10.1109\/ICPR.2018.8545464"},{"key":"3266_CR15","unstructured":"Antic, J.: Deoldify (2019)"},{"key":"3266_CR16","doi-asserted-by":"crossref","unstructured":"Wang, F., Liu, L., Jung, C.: Deep near infrared colorization with semantic segmentation and transfer learning. In: 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), pp. 455\u2013458 (2020)","DOI":"10.1109\/VCIP49819.2020.9301788"},{"key":"3266_CR17","doi-asserted-by":"crossref","unstructured":"Vitoria, P., Raad, L., Ballester, C.: Chromagan: Adversarial picture colorization with semantic class distribution. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 2445\u20132454 (2020)","DOI":"10.1109\/WACV45572.2020.9093389"},{"key":"3266_CR18","doi-asserted-by":"publisher","first-page":"103764","DOI":"10.1016\/j.infrared.2021.103764","volume":"116","author":"W Liang","year":"2021","unstructured":"Liang, W., Ding, D., Wei, G.: An improved dualgan for near-infrared image colorization. Infrared Phys. Technol. 116, 103764 (2021)","journal-title":"Infrared Phys. Technol."},{"key":"3266_CR19","doi-asserted-by":"crossref","unstructured":"Yi, Z., Zhang, H., Tan, P., Gong, M.: Dualgan: unsupervised dual learning for image-to-image translation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2849\u20132857 (2017)","DOI":"10.1109\/ICCV.2017.310"},{"key":"3266_CR20","doi-asserted-by":"publisher","first-page":"108007","DOI":"10.1016\/j.sigpro.2021.108007","volume":"183","author":"X Jiangtao","year":"2021","unstructured":"Jiangtao, X., Kaige, L., Shi, X., Qin, S., Wang, H., Ma, J.: A denseunet generative adversarial network for near-infrared face image colorization. Signal Process. 183, 108007 (2021)","journal-title":"Signal Process."},{"key":"3266_CR21","unstructured":"Iandola, F., Moskewicz, M., Karayev, S., Girshick, R., Darrell, T., Keutzer, K.: Densenet: implementing efficient convnet descriptor pyramids. arXiv preprint arXiv:1404.1869 (2014)"},{"key":"3266_CR22","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer- Assisted Intervention \u2013 MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) Medical Image Computing and Computer- Assisted Intervention \u2013 MICCAI 2015: 18th International Conference, Munich, Germany, October 5\u20139, 2015, Proceedings, Part III, pp. 234\u2013241. Springer, Cham (2015)"},{"key":"3266_CR23","doi-asserted-by":"crossref","unstructured":"Zhou, S., Kamata, S.-I.: Near-infrared image colorization with weighted UNet++ and auxiliary color enhancement Gan. In: 2022 7th International Conference on Image, Vision and Computing, pp. 507\u2013512 (2022)","DOI":"10.1109\/ICIVC55077.2022.9887040"},{"key":"3266_CR24","doi-asserted-by":"crossref","unstructured":"Zhou, Z., Siddiquee, M.M.R., Tajbakhsh, N., Liang, J.: Unet++: A nested u-net architecture for medical image segmentation. In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings 4, pp. 3\u201311 (2018).","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"3266_CR25","doi-asserted-by":"crossref","unstructured":"Park, T.-S., Kim, T.-H., Kim, J.-O.: Feature distillation network for multi-band nir colorization. In: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1874\u20131878 (2022)","DOI":"10.23919\/APSIPAASC55919.2022.9979948"},{"key":"3266_CR26","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1007\/978-3-319-46487-9_43","volume-title":"Computer Vision \u2013 ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Preceeding, Part III","author":"C Li","year":"2016","unstructured":"Li, C., Wand, M.: Precomputed real-time texture synthesis with markovian generative adversarial networks. In: Leibe, B., Sebe, J.M.N., Welling, M. (eds.) Computer Vision \u2013 ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Preceeding, Part III, pp. 702\u2013716. Springer, Cham (2016)"},{"key":"3266_CR27","doi-asserted-by":"crossref","unstructured":"Hui, Z., Gao, X., Yang, Y., Wang, X.: Lightweight image super-resolution with information multi-distillation network. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 2024\u20132032 (2019)","DOI":"10.1145\/3343031.3351084"},{"key":"3266_CR28","doi-asserted-by":"crossref","unstructured":"Brown, M., S\u00fcsstrunk, S.: Multi-spectral sift for scene category recognition. In: CVPR, pp. 177\u2013184 (2011)","DOI":"10.1109\/CVPR.2011.5995637"},{"key":"3266_CR29","unstructured":"Reddi, S.J., Kale, S., Kumar, S.: On the convergence of adam and beyond. arXiv preprint arXiv:1904.09237 (2019)"},{"key":"3266_CR30","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1109\/TCE.2023.3280165","volume":"69","author":"Y He","year":"2023","unstructured":"He, Y., Jin, X., Jiang, Q., Cheng, Z., Wang, P., Zhou, W.: Lkat-gan: a gan for thermal infrared image colorization based on large kernel and attentionunet-transformer. IEEE Trans. Consum. Electron. 69, 478\u2013489 (2023)","journal-title":"IEEE Trans. Consum. Electron."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03266-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03266-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03266-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T19:09:17Z","timestamp":1722280157000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03266-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,31]]},"references-count":30,"journal-issue":{"issue":"8-9","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["3266"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03266-2","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2024,5,31]]},"assertion":[{"value":"20 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors disclosed no relevant relationships.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"All authors approved the final manuscript and the submission to this journal.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}]}}