{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T14:37:36Z","timestamp":1777905456110,"version":"3.51.4"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T00:00:00Z","timestamp":1771200000000},"content-version":"vor","delay-in-days":13,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Manipal University Jaipur"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s40747-026-02235-1","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T18:46:54Z","timestamp":1770144414000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["SFX-GAN: sustainable and explainable multi-modal spectral fusion for image dehazing in complex systems"],"prefix":"10.1007","volume":"12","author":[{"given":"Pulkit","family":"Dwivedi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vishakha","family":"Agarwal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-6863-049X","authenticated-orcid":false,"given":"Niyaz Ahmad","family":"Wani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mansi","family":"Kajal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akram","family":"Bennour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,3]]},"reference":[{"issue":"12","key":"2235_CR1","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 (2011) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341\u20132353","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"11","key":"2235_CR2","doi-asserted-by":"publisher","first-page":"3522","DOI":"10.1109\/TIP.2015.2446191","volume":"24","author":"Q Zhu","year":"2015","unstructured":"Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24(11):3522\u20133533","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2020.103008","volume":"74","author":"G Sahu","year":"2021","unstructured":"Sahu G, Seal A, Krejcar O, Yazidi A (2021) Single image dehazing using a new color channel. J Vis Commun Image Represent 74:103008. https:\/\/doi.org\/10.1016\/j.jvcir.2020.103008","journal-title":"J Vis Commun Image Represent"},{"key":"2235_CR4","doi-asserted-by":"crossref","unstructured":"Li B, Peng X, Wang Z, Xu J, Feng D (2017) Aod-net: all-in-one dehazing network. In: Proceedings of IEEE international conference on computer vision (ICCV), pp 4770\u20134778","DOI":"10.1109\/ICCV.2017.511"},{"key":"2235_CR5","doi-asserted-by":"crossref","unstructured":"Zhang H, Patel VM (2018) Densely connected pyramid dehazing network. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 3194\u20133203","DOI":"10.1109\/CVPR.2018.00337"},{"key":"2235_CR6","doi-asserted-by":"crossref","unstructured":"Liu X, Ma Y, Shi Z, Chen J (2019) Griddehazenet: attention-based multi-scale network for image dehazing. In: Proceedings of IEEE\/CVF international conference on computer vision (ICCV), pp 7314\u20137323","DOI":"10.1109\/ICCV.2019.00741"},{"key":"2235_CR7","doi-asserted-by":"publisher","unstructured":"Qin X, Wang Z, Bai Y, Xie X, Jia H (2019) Ffa-net: feature fusion attention network for single image dehazing. https:\/\/doi.org\/10.48550\/arXiv.1911.07559. arXiv:1911.07559","DOI":"10.48550\/arXiv.1911.07559"},{"key":"2235_CR8","doi-asserted-by":"publisher","unstructured":"Dong H et\u00a0al (2020) Multi-scale boosted dehazing network with dense feature fusion. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR), Seattle, pp 2154\u20132164. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00223","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"2235_CR9","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1109\/TIP.2023.3256763","volume":"32","author":"HQY Song","year":"2023","unstructured":"Song HQY, He Z, Du X (2023) Vision transformers for single image dehazing. IEEE Trans Image Process 32:1927\u20131941. https:\/\/doi.org\/10.1109\/TIP.2023.3256763","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR10","doi-asserted-by":"publisher","first-page":"3391","DOI":"10.1109\/TIP.2021.3060873","volume":"30","author":"S Zhao","year":"2021","unstructured":"Zhao S, Zhang L, Shen Y, Zhou Y (2021) Refinednet: a weakly supervised refinement framework for single image dehazing. IEEE Trans Image Process 30:3391\u20133404. https:\/\/doi.org\/10.1109\/TIP.2021.3060873","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109700","volume":"142","author":"YZ Su","year":"2023","unstructured":"Su YZ, He C, Cui ZG, Li AH, Wang N (2023) Physical model and image translation fused network for single-image dehazing. Pattern Recogn 142:109700. https:\/\/doi.org\/10.1016\/j.patcog.2023.109700","journal-title":"Pattern Recogn"},{"key":"2235_CR12","doi-asserted-by":"publisher","first-page":"8783","DOI":"10.1109\/TMM.2024.3382493","volume":"26","author":"D Cheng","year":"2024","unstructured":"Cheng D, Li Y, Zhang D, Wang N, Sun J, Gao X (2024) Progressive negative enhancing contrastive learning for image dehazing and beyond. IEEE Trans Multimed 26:8783\u20138798. https:\/\/doi.org\/10.1109\/TMM.2024.3382493","journal-title":"IEEE Trans Multimed"},{"issue":"11","key":"2235_CR13","doi-asserted-by":"publisher","first-page":"11070","DOI":"10.1109\/TCSVT.2024.3414677","volume":"34","author":"Y Feng","year":"2024","unstructured":"Feng Y, Su Z, Ma L, Li X, Liu R, Zhou F (2024) Bridging the gap between haze scenarios: a unified image dehazing model. IEEE Trans Circuits Syst Video Technol 34(11):11070\u201311085. https:\/\/doi.org\/10.1109\/TCSVT.2024.3414677","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2235_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105256","volume":"151","author":"X Ji","year":"2024","unstructured":"Ji X, Wang X, Leng N, Hao L-Y, Guo H (2024) Dual-branch underwater image enhancement network via multiscale neighborhood interaction attention learning. Image Vis Comput 151:105256. https:\/\/doi.org\/10.1016\/j.imavis.2024.105256","journal-title":"Image Vis Comput"},{"key":"2235_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105212","volume":"150","author":"H Su","year":"2024","unstructured":"Su H, Liu L, Wang Z, Gao M (2024) Multi-scale large kernel convolution and hybrid attention network for remote sensing image dehazing. Image Vis Comput 150:105212. https:\/\/doi.org\/10.1016\/j.imavis.2024.105212","journal-title":"Image Vis Comput"},{"key":"2235_CR16","doi-asserted-by":"crossref","unstructured":"Dong R, Hong Z, Guo X (2024) Dehazedct: towards effective non-homogeneous dehazing via deformable convolutional transformer. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 1890\u20131899","DOI":"10.1109\/CVPRW63382.2024.00642"},{"issue":"12","key":"2235_CR17","doi-asserted-by":"publisher","first-page":"3972","DOI":"10.3390\/s24123972","volume":"24","author":"T Guo","year":"2024","unstructured":"Guo T, Wu Y, Li M (2024) Fotformer: a frequency-oriented transformer for remote sensing image dehazing. Sensors 24(12):3972","journal-title":"Sensors"},{"key":"2235_CR18","unstructured":"Zhang W, Zhou H, Shi Y (2024) Msdt: a multi-scale dual-branch transformer for hazy image restoration. IEEE Trans Geosci Remote Sens"},{"key":"2235_CR19","unstructured":"Xiong Y, Li Z, Wang T (2024) Rshazediff: Fourier-aware diffusion model for real-world remote sensing image dehazing. arXiv:2405.09083"},{"key":"2235_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105014","volume":"146","author":"S Zhang","year":"2024","unstructured":"Zhang S, Tao Z, Lin S (2024) Waveletformernet: a transformer-based wavelet network for real-world non-homogeneous and dense fog removal. Image Vis Comput 146:105014. https:\/\/doi.org\/10.1016\/j.imavis.2024.105014","journal-title":"Image Vis Comput"},{"key":"2235_CR21","doi-asserted-by":"crossref","unstructured":"Zhu H, Peng X, Chandrasekhar V, Li L, Lim J-H (2018) Dehazegan: when image dehazing meets differential programming. In: Proceedings of the 27th international joint conference on artificial intelligence, pp 1234\u20131240","DOI":"10.24963\/ijcai.2018\/172"},{"key":"2235_CR22","doi-asserted-by":"crossref","unstructured":"Qu Y, Chen Y, Huang J, Xie Y (2019) Enhanced pix2pix dehazing network. In: IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 8152\u20138160","DOI":"10.1109\/CVPR.2019.00835"},{"key":"2235_CR23","doi-asserted-by":"crossref","unstructured":"Engin D, Genc A, Ekenel HK (2018) Cycle-dehaze: enhanced cycle-gan for single image dehazing. In: IEEE\/CVF conference on computer vision and pattern recognition workshops (CVPRW), pp 938\u20139388","DOI":"10.1109\/CVPRW.2018.00127"},{"key":"2235_CR24","doi-asserted-by":"publisher","first-page":"3052","DOI":"10.1109\/JSTARS.2021.3061460","volume":"14","author":"L Jiao","year":"2021","unstructured":"Jiao L, Hu C, Huo L, Tang P (2021) Guided-pix2pix: end-to-end inference and refinement network for image dehazing. IEEE J Sel Top Appl Earth Obs Remote Sens 14:3052\u20133069","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"2235_CR25","doi-asserted-by":"publisher","unstructured":"Wu RQ, Duan ZP, Guo CL, Chai Z, Li C (2023) Ridcp: revitalizing real image dehazing via high-quality codebook priors. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR), Vancouver, pp 22282\u201322291. https:\/\/doi.org\/10.1109\/CVPR52729.2023.02134","DOI":"10.1109\/CVPR52729.2023.02134"},{"key":"2235_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2025.105494","volume":"157","author":"P Wu","year":"2025","unstructured":"Wu P, Yang S, Wu J, Li Q (2025) Rif-diff: improving image fusion based on diffusion model via residual prediction. Image Vis Comput 157:105494. https:\/\/doi.org\/10.1016\/j.imavis.2025.105494","journal-title":"Image Vis Comput"},{"key":"2235_CR27","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1016\/j.procs.2015.06.057","volume":"54","author":"A Kumari","year":"2015","unstructured":"Kumari A, Sahoo S (2015) Real time visibility enhancement for single image haze removal. Proc Comput Sci 54:501\u2013507","journal-title":"Proc Comput Sci"},{"key":"2235_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104820","volume":"139","author":"M Wang","year":"2023","unstructured":"Wang M, Liao L, Huang D, Fan Z, Zhuang J, Zhang W (2023) Frequency and content dual stream network for image dehazing. Image Vis Comput 139:104820","journal-title":"Image Vis Comput"},{"key":"2235_CR29","doi-asserted-by":"crossref","unstructured":"Xiong J, Yan X, Wang Y, Zhao W, Zhang X, Wei M (2024) Rshazediff: a unified Fourier-aware diffusion model for remote sensing image dehazing. arXiv:2405.09083","DOI":"10.1109\/TITS.2024.3487972"},{"key":"2235_CR30","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1109\/TIP.2024.3362153","volume":"33","author":"Y Wang","year":"2024","unstructured":"Wang Y et al (2024) Ucl-dehaze: toward real-world image dehazing via unsupervised contrastive learning. IEEE Trans Image Process 33:1361\u20131374","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2025.105659","volume":"162","author":"Q Kou","year":"2025","unstructured":"Kou Q, Chen J, Zhang H, Song T, Jiang H, Cheng D, Chen L (2025) Dmnet: image dehazing via dual-domain modulation. Image Vis Comput 162:105659. https:\/\/doi.org\/10.1016\/j.imavis.2025.105659","journal-title":"Image Vis Comput"},{"key":"2235_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105236","volume":"150","author":"W Li","year":"2024","unstructured":"Li W, Fan D, Zhu Q, Gao Z, Sun H (2024) Hedehazenet: unpaired image dehazing via enhanced haze generation. Image Vis Comput 150:105236. https:\/\/doi.org\/10.1016\/j.imavis.2024.105236","journal-title":"Image Vis Comput"},{"key":"2235_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102927","volume":"118","author":"X Xue","year":"2025","unstructured":"Xue X, Yuan J, Ma T, Ma L, Jia Q, Zhou J, Wang Y (2025) Degradation-decoupled and semantic-aggregated cross-space fusion for underwater image enhancement. Inf Fusion 118:102927. https:\/\/doi.org\/10.1016\/j.inffus.2024.102927","journal-title":"Inf Fusion"},{"key":"2235_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102365","volume":"108","author":"C Selvam","year":"2024","unstructured":"Selvam C, Jebadass RJJ, Sundaram D, Shanmugam L (2024) A novel intuitionistic fuzzy generator for low-contrast color image enhancement technique. Inf Fusion 108:102365. https:\/\/doi.org\/10.1016\/j.inffus.2024.102365","journal-title":"Inf Fusion"},{"key":"2235_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102277","volume":"106","author":"Z Lihe","year":"2024","unstructured":"Lihe Z, He J, Yuan Q, Jin X, Xiao Y, Zhang L (2024) Phdnet: a novel physic-aware dehazing network for remote sensing images. Inf Fusion 106:102277. https:\/\/doi.org\/10.1016\/j.inffus.2024.102277","journal-title":"Inf Fusion"},{"key":"2235_CR36","doi-asserted-by":"publisher","first-page":"3982","DOI":"10.1109\/TIP.2025.3579148","volume":"34","author":"H Shen","year":"2025","unstructured":"Shen H, Ding H, Zhang Y, Zhao Z-Q, Jiang X (2025) Spatial frequency modulation network for efficient image dehazing. IEEE Trans Image Process 34:3982\u20133996. https:\/\/doi.org\/10.1109\/TIP.2025.3579148","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103104","volume":"120","author":"W Yi","year":"2025","unstructured":"Yi W, Dong L, Liu M, Kong L, Yang Y, Chu X, Zhao Y (2025) Towards haze removal with derived pseudo-label supervision from real-world non-aligned training data. Inf Fusion 120:103104. https:\/\/doi.org\/10.1016\/j.inffus.2025.103104","journal-title":"Inf Fusion"},{"issue":"1","key":"2235_CR38","first-page":"492","volume":"28","author":"L Boyi","year":"2018","unstructured":"Boyi L, Wenqi R, Dongwei F, Dacheng T, Deyu F (2018) Benchmarking single-image dehazing and beyond. IEEE Trans Image Process 28(1):492\u2013505","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR39","doi-asserted-by":"crossref","unstructured":"Ancuti CO, Ancuti C, De\u00a0Vleeschouwer C, Bekaert P (2020) Nh-haze: an image dehazing benchmark with non-homogeneous hazy and haze-free images, p 1","DOI":"10.1109\/CVPRW50498.2020.00230"},{"key":"2235_CR40","doi-asserted-by":"crossref","unstructured":"Ancuti CO, Ancuti C, Timofte R, De\u00a0Vleeschouwer C (2018) I-haze: a dehazing benchmark with real hazy and haze-free indoor images, p 1","DOI":"10.1007\/978-3-030-01449-0_52"},{"key":"2235_CR41","doi-asserted-by":"crossref","unstructured":"Ancuti CO, Ancuti C., De\u00a0Vleeschouwer C, Bekaert P (2018) O-haze: a dehazing benchmark with real hazy and haze-free outdoor images. arXiv:1804.05101","DOI":"10.1007\/978-3-030-01449-0_52"},{"key":"2235_CR42","doi-asserted-by":"crossref","unstructured":"Ancuti CO, Ancuti C, Timofte R, De\u00a0Vleeschouwer C (2016) D-hazy: a dataset to evaluate quantitatively dehazing algorithms. In: Proceedings of the IEEE international conference on image processing (ICIP)","DOI":"10.1109\/ICIP.2016.7532754"},{"key":"2235_CR43","doi-asserted-by":"crossref","unstructured":"Silberman N, Hoiem D, Kohli P, Fergus R (2012) Indoor segmentation and support inference from rgbd images, pp 746\u2013760","DOI":"10.1007\/978-3-642-33715-4_54"},{"issue":"3","key":"2235_CR44","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","volume":"20","author":"A Mittal","year":"2012","unstructured":"Mittal A, Moorthy AK, Bovik AC (2012) Making a \u201ccompletely blind\u2019\u2019 image quality analyzer. IEEE Signal Process Lett 20(3):209\u2013212","journal-title":"IEEE Signal Process Lett"},{"issue":"12","key":"2235_CR45","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal A, Soundararajan R, Bovik AC (2012) No-reference image quality assessment in the spatial domain. IEEE Trans Image Process 21(12):4695\u20134708","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"2235_CR46","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1016\/j.image.2014.06.006","volume":"29","author":"L Liu","year":"2014","unstructured":"Liu L, Lin W, Narwaria M (2014) No-reference image quality assessment based on spatial and spectral entropy features. Signal Process Image Commun 29(8):856\u2013863","journal-title":"Signal Process Image Commun"},{"key":"2235_CR47","unstructured":"Choi Y, Kim NI, Kim J-S (2015) Reference less prediction of perceptual fog density using natural scene statistics, pp 1439\u20131443"},{"key":"2235_CR48","doi-asserted-by":"crossref","unstructured":"Ren W, Liu S, Zhang H, Pan J, Cao X, Yang M (2016) Single image dehazing via multi-scale convolutional neural networks. In: European conference on computer vision, pp 154\u2013169","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"2235_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2024.104132","author":"X Zhang","year":"2024","unstructured":"Zhang X, Zhang L, Chu M, Wang S (2024) Du-net: a new double u-shaped network for single image dehazing. J Vis Commun Image Represent. https:\/\/doi.org\/10.1016\/j.jvcir.2024.104132","journal-title":"J Vis Commun Image Represent"},{"key":"2235_CR50","doi-asserted-by":"crossref","unstructured":"Zhu J-Y, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: IEEE international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2017.244"},{"key":"2235_CR51","doi-asserted-by":"publisher","first-page":"8457","DOI":"10.1109\/TIP.2020.3016134","volume":"29","author":"B Li","year":"2020","unstructured":"Li B, Gou Y, Liu JZ, Zhu H, Zhou JT, Peng X (2020) Zero-shot image dehazing. IEEE Trans Image Process 29:8457\u20138466. https:\/\/doi.org\/10.1109\/TIP.2020.3016134","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR52","doi-asserted-by":"publisher","unstructured":"Yang Y, Wang C, Liu R, Zhang L, Guo X, Tao D (2022) Self-augmented unpaired image dehazing via density and depth decomposition. In: 2022 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), New Orleans, pp 2027\u20132036. https:\/\/doi.org\/10.1109\/CVPR52688.2022.00208","DOI":"10.1109\/CVPR52688.2022.00208"},{"key":"2235_CR53","doi-asserted-by":"publisher","first-page":"3238","DOI":"10.1109\/TIP.2023.3279980","volume":"32","author":"P Ling","year":"2023","unstructured":"Ling P, Chen H, Tan X, Jin Y, Chen E (2023) Single image dehazing using saturation line prior. IEEE Trans Image Process 32:3238\u20133253. https:\/\/doi.org\/10.1109\/TIP.2023.3279980","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR54","doi-asserted-by":"publisher","first-page":"1002","DOI":"10.1109\/TIP.2024.3354108","volume":"33","author":"Z Chen","year":"2024","unstructured":"Chen Z, He Z, Lu Z-M (2024) DEA-Net: single image dehazing based on detail-enhanced convolution and content-guided attention. IEEE Trans Image Process 33:1002\u20131015. https:\/\/doi.org\/10.1109\/TIP.2024.3354108","journal-title":"IEEE Trans Image Process"},{"key":"2235_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2025.103104","volume":"120","author":"W Yi","year":"2025","unstructured":"Yi W, Dong L, Liu M, Kong L, Yang Y, Chu X, Zhao Y (2025) Towards haze removal with derived pseudo-label supervision from real-world non-aligned training data. Inf Fusion 120:103104. https:\/\/doi.org\/10.1016\/j.inffus.2025.103104","journal-title":"Inf Fusion"}],"container-title":["Complex & Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-026-02235-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-026-02235-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-026-02235-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T07:55:49Z","timestamp":1774425349000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-026-02235-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,3]]},"references-count":55,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["2235"],"URL":"https:\/\/doi.org\/10.1007\/s40747-026-02235-1","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,3]]},"assertion":[{"value":"4 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2026","order":3,"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 known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"112"}}