{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:54:16Z","timestamp":1769741656228,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T00:00:00Z","timestamp":1750723200000},"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":["SIViP"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s11760-025-04411-1","type":"journal-article","created":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T16:59:38Z","timestamp":1750784378000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Physics-guided atmospheric restoration network for single image dehazing"],"prefix":"10.1007","volume":"19","author":[{"given":"Jingchao","family":"Hou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garas","family":"Gendy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghui","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,24]]},"reference":[{"issue":"1","key":"4411_CR1","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s11760-023-02752-3","volume":"18","author":"MS Akhtar","year":"2024","unstructured":"Akhtar, M.S., Ali, A., Chaudhuri, S.S.: Mobile-unet gan: a single-image dehazing model. SIViP 18(1), 275\u2013283 (2024)","journal-title":"SIViP"},{"key":"4411_CR2","doi-asserted-by":"crossref","unstructured":"Berman, D., Avidan, S., et al.: Non-local image dehazing. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1674\u20131682, (2016)","DOI":"10.1109\/CVPR.2016.185"},{"issue":"11","key":"4411_CR3","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai, B., Xu, X., Jia, K., Qing, C., Tao, D.: Dehazenet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"4411_CR4","doi-asserted-by":"crossref","unstructured":"Chen, L., Lu, X., Zhang, J., Chu, X., Chen, C.: Hinet: Half instance normalization network for image restoration. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 182\u2013192, (2021)","DOI":"10.1109\/CVPRW53098.2021.00027"},{"key":"4411_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Z., Wang, Y., Yang, Y., Liu, D.: Psd: Principled synthetic-to-real dehazing guided by physical priors. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 7180\u20137189, (2021)","DOI":"10.1109\/CVPR46437.2021.00710"},{"issue":"11","key":"4411_CR6","doi-asserted-by":"publisher","first-page":"3888","DOI":"10.1109\/TIP.2015.2456502","volume":"24","author":"LK Choi","year":"2015","unstructured":"Choi, L.K., You, J., Bovik, A.C.: Referenceless prediction of perceptual fog density and perceptual image defogging. IEEE Trans. Image Process. 24(11), 3888\u20133901 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"4411_CR7","doi-asserted-by":"crossref","unstructured":"Dong, H., Pan, J., Xiang, L., Hu, Z., Zhang, X., Wang, F., Yang, M.-H.: Multi-scale boosted dehazing network with dense feature fusion. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 2157\u20132167, (2020)","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"4411_CR8","doi-asserted-by":"crossref","unstructured":"Engin, D., Gen\u00e7, A., Kemal Ekenel, H.: Cycle-dehaze: Enhanced cyclegan for single image dehazing. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pages 825\u2013833, (2018)","DOI":"10.1109\/CVPRW.2018.00127"},{"key":"4411_CR9","first-page":"2852","volume":"39","author":"J Fan","year":"2025","unstructured":"Fan, J., Wang, K., Yan, Z., Chen, X., Gao, S., Li, J., Yang, J.: Depth-centric dehazing and depth-estimation from real-world hazy driving video. Proc. AAAI Conf. Artif. Intell. 39, 2852\u20132860 (2025)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"issue":"1","key":"4411_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2651362","volume":"34","author":"R Fattal","year":"2014","unstructured":"Fattal, R.: Dehazing using color-lines. ACM trans. graph. (TOG) 34(1), 1\u201314 (2014)","journal-title":"ACM trans. graph. (TOG)"},{"key":"4411_CR11","doi-asserted-by":"crossref","unstructured":"Guo, C.-L., Yan, Q., Anwar, S., Cong, R., Ren, W., Li, C.: Image dehazing transformer with transmission-aware 3d position embedding. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 5812\u20135820, (2022)","DOI":"10.1109\/CVPR52688.2022.00572"},{"key":"4411_CR12","doi-asserted-by":"crossref","unstructured":"Guo, H., Li, J., Dai, T., Ouyang, Z., Ren, X., Xia, S.-T.: Mambair: A simple baseline for image restoration with state-space model. In European conference on computer vision, pages 222\u2013241. Springer, (2024)","DOI":"10.1007\/978-3-031-72649-1_13"},{"issue":"4","key":"4411_CR13","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/s11760-025-03868-4","volume":"19","author":"L Guo","year":"2025","unstructured":"Guo, L., Zhou, X., Zhao, Y., Wu, W.: Improved yolov7 algorithm incorporating inceptionnext and attention mechanism for vehicle detection under adverse lighting conditions. SIViP 19(4), 299 (2025)","journal-title":"SIViP"},{"issue":"12","key":"4411_CR14","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He, K., Sun, J., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341\u20132353 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4411_CR15","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1109\/TCI.2024.3426360","volume":"10","author":"J Hou","year":"2024","unstructured":"Hou, J., Gendy, G., Chen, G., Wang, L., He, G.: Dtdemo: a deep learning-based two-stage image demosaicing model with interpolation and enhancement. IEEE Trans. Comput. Imaging 10, 1026\u20131039 (2024)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"5","key":"4411_CR16","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/s11760-025-03918-x","volume":"19","author":"J Hou","year":"2025","unstructured":"Hou, J., Gendy, G., He, G.: Phydiisp: a physics-guided differentiable pipeline for low-light machine vision. SIViP 19(5), 353 (2025)","journal-title":"SIViP"},{"key":"4411_CR17","unstructured":"Jocher, G., et al.: Ultralytics yolov8, (2023)"},{"key":"4411_CR18","unstructured":"Khanam, R., Hussain, M.: What is yolov5: A deep look into the internal features of the popular object detector. arXiv preprint arXiv:2407.20892, (2024)"},{"key":"4411_CR19","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Feng, D.: Aod-net: All-in-one dehazing network. In Proceedings of the IEEE International Conference on Computer Vision, pages 4770\u20134778, (2017)","DOI":"10.1109\/ICCV.2017.511"},{"issue":"1","key":"4411_CR20","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2018","unstructured":"Li, B., Ren, W., Fu, D., Tao, D., Feng, D., Zeng, W., Wang, Z.: Benchmarking single-image dehazing and beyond. IEEE Trans. Image Process. 28(1), 492\u2013505 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"4411_CR21","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Gool, L.V., Timofte, R.: Swinir: Image restoration using swin transformer. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (2021)","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"4411_CR22","doi-asserted-by":"crossref","unstructured":"Liu, X., Ma, Y., Shi, Z., Chen, J.: Griddehazenet: Attention-based multi-scale network for image dehazing. In Proceedings of the IEEE\/CVF international conference on computer vision, pages 7314\u20137323, (2019)","DOI":"10.1109\/ICCV.2019.00741"},{"key":"4411_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Y., Zhu, L., Pei, S., Fu, H., Qin, J., Zhang, Q., Wan, L., Feng, W.: From synthetic to real: Image dehazing collaborating with unlabeled real data. In Proceedings of the 29th ACM international conference on multimedia, pages 50\u201358, (2021)","DOI":"10.1145\/3474085.3475331"},{"issue":"12","key":"4411_CR24","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal, A., Moorthy, A.K., Bovik, A.C.: No-reference image quality assessment in the spatial domain. IEEE Trans. Image Process. 21(12), 4695\u20134708 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"4411_CR25","doi-asserted-by":"crossref","unstructured":"Mou, C., Wang, Q., Zhang, J.: Deep generalized unfolding networks for image restoration. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 17399\u201317410, (2022)","DOI":"10.1109\/CVPR52688.2022.01688"},{"key":"4411_CR26","first-page":"11908","volume":"34","author":"X Qin","year":"2020","unstructured":"Qin, X., Wang, Z., Bai, Y., Xie, X., Jia, H.: Ffa-net: feature fusion attention network for single image dehazing. In Proc. AAAI conf. Artif. Intell. 34, 11908\u201311915 (2020)","journal-title":"In Proc. AAAI conf. Artif. Intell."},{"key":"4411_CR27","doi-asserted-by":"crossref","unstructured":"Qu, Y., Chen, J., Chen, Y.: Enhanced pix2pix dehazing network. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pages 810\u2013818, (2019)","DOI":"10.1109\/CVPR.2019.00835"},{"key":"4411_CR28","doi-asserted-by":"crossref","unstructured":"Shao, Y., Li, L., Ren, W., Gao, C., Sang, N.: Domain adaptation for image dehazing. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 2808\u20132817, (2020)","DOI":"10.1109\/CVPR42600.2020.00288"},{"key":"4411_CR29","doi-asserted-by":"crossref","unstructured":"Shen, H., Zhao, Z.-Q., Zhang, Y., Zhang, Z.: Mutual information-driven triple interaction network for efficient image dehazing. In Proceedings of the 31st ACM international conference on multimedia, pages 7\u201316, (2023)","DOI":"10.1145\/3581783.3612299"},{"key":"4411_CR30","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","volume":"32","author":"Y Song","year":"2023","unstructured":"Song, Y., He, Z., Qian, H., Du, X.: Vision transformers for single image dehazing. IEEE Trans. Image Process. 32, 1927\u20131941 (2023)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"4411_CR31","doi-asserted-by":"publisher","first-page":"3998","DOI":"10.1109\/TIP.2018.2831899","volume":"27","author":"H Talebi","year":"2018","unstructured":"Talebi, H., Milanfar, P.: Nima: neural image assessment. IEEE Trans. Image Process. 27(8), 3998\u20134011 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"4411_CR32","first-page":"5998","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30, 5998\u20136008 (2017)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"4411_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106281","volume":"175","author":"J Wang","year":"2024","unstructured":"Wang, J., Wu, S., Yuan, Z., Tong, Q., Xu, K.: Frequency compensated diffusion model for real-scene dehazing. Neural Netw. 175, 106281 (2024)","journal-title":"Neural Netw."},{"key":"4411_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2025.111628","volume":"166","author":"T Wang","year":"2025","unstructured":"Wang, T., Zhang, K., Zhang, Y., Luo, W., Stenger, B., Lu, T., Kim, T.-K., Liu, W.: Lldiffusion: learning degradation representations in diffusion models for low-light image enhancement. Pattern Recogn. 166, 111628 (2025)","journal-title":"Pattern Recogn."},{"key":"4411_CR35","doi-asserted-by":"crossref","unstructured":"Wu, H., Qu, Y., Lin, S., Zhou, J., Qiao, R., Zhang, Z., Xie, Y., Ma, L.: Contrastive learning for compact single image dehazing. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 10551\u201310560, (2021)","DOI":"10.1109\/CVPR46437.2021.01041"},{"key":"4411_CR36","doi-asserted-by":"crossref","unstructured":"Wu, R.-Q., Duan, Z.-P., Guo, C.-L., Chai, Z., Li, C.: Ridcp: Revitalizing real image dehazing via high-quality codebook priors. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pages 22282\u201322291, (2023)","DOI":"10.1109\/CVPR52729.2023.02134"},{"key":"4411_CR37","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1109\/TITS.2024.3487972","volume":"26","author":"J Xiong","year":"2024","unstructured":"Xiong, J., Yan, X., Wang, Y., Zhao, W., Zhang, X.-P., Wei, M.: Rshazediff: a unified fourier-aware diffusion model for remote sensing image dehazing. IEEE Trans. Intell. Transp. Syst. 26, 1055\u20131070 (2024)","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04411-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04411-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04411-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T14:44:56Z","timestamp":1751553896000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04411-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,24]]},"references-count":37,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["4411"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04411-1","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,24]]},"assertion":[{"value":"14 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 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 no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"777"}}