{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T05:07:34Z","timestamp":1774933654758,"version":"3.50.1"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:00:00Z","timestamp":1740182400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T00:00:00Z","timestamp":1740182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 62006073"],"award-info":[{"award-number":["No. 62006073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003819","name":"Hubei Provincial Natural Science Foundation","doi-asserted-by":"crossref","award":["No. 2022CFA007"],"award-info":[{"award-number":["No. 2022CFA007"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Science and Technology Project","award":["No. 2022BEC017"],"award-info":[{"award-number":["No. 2022BEC017"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Hubei Provincial Central Government Guided Local Science and Technology Development Special Project","award":["No. 2023GEA027"],"award-info":[{"award-number":["No. 2023GEA027"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]},{"name":"Outstanding Youth Program of Hubei Natural Science Foundation under Grant","award":["No. 2024AFA074"],"award-info":[{"award-number":["No. 2024AFA074"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s10044-025-01430-z","type":"journal-article","created":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T08:56:14Z","timestamp":1740214574000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-scale adaptive detail enhancement dehazing network for autonomous driving perception images"],"prefix":"10.1007","volume":"28","author":[{"given":"Juan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minghu","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuyao","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jixiang","family":"Shao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyan","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,22]]},"reference":[{"key":"1430_CR1","doi-asserted-by":"crossref","unstructured":"Wu J, Li W (2023) P-2.21: Research on multi-lidar detection technology for autonomous driving. In: SID symposium digest of technical papers, vol 54, pp 558\u2013561","DOI":"10.1002\/sdtp.16355"},{"key":"1430_CR2","doi-asserted-by":"publisher","unstructured":"Kanchana B, Peiris R, Perera D, Jayasinghe D, Kasthurirathna D (2021) Computer vision for autonomous driving. In: 2021 3rd International conference on advancements in computing (ICAC), pp 175\u2013180 https:\/\/doi.org\/10.1109\/ICAC54203.2021.9671099","DOI":"10.1109\/ICAC54203.2021.9671099"},{"key":"1430_CR3","doi-asserted-by":"publisher","DOI":"10.3390\/rs15245704","author":"Z Wang","year":"2023","unstructured":"Wang Z, Zhang Y, Zhang Z, Jiang Z, Yu Y, Li L, Zhang L (2023) Sdat-former++: a foggy scene semantic segmentation method with stronger domain adaption teacher for remote sensing images. Remote Sens. https:\/\/doi.org\/10.3390\/rs15245704","journal-title":"Remote Sens"},{"issue":"5","key":"1430_CR4","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1117\/12.56145","volume":"31","author":"LR Bissonnette","year":"1992","unstructured":"Bissonnette LR (1992) Imaging through fog and rain. Opt Eng 31(5):1045\u20131052. https:\/\/doi.org\/10.1117\/12.56145","journal-title":"Opt Eng"},{"issue":"14","key":"1430_CR5","doi-asserted-by":"publisher","first-page":"5084","DOI":"10.3390\/s22145084","volume":"22","author":"S Yoon","year":"2022","unstructured":"Yoon S, Cho J (2022) Deep multimodal detection in reduced visibility using thermal depth estimation for autonomous driving. Sensors 22(14):5084. https:\/\/doi.org\/10.3390\/s22145084","journal-title":"Sensors"},{"issue":"06","key":"1430_CR6","doi-asserted-by":"publisher","first-page":"1950099","DOI":"10.1142\/S0218126619500993","volume":"28","author":"UA Nnolim","year":"2019","unstructured":"Nnolim UA (2019) Image de-hazing via gradient optimized adaptive forward-reverse flow-based partial differential equation. J Circuits Syst Comput 28(06):1950099. https:\/\/doi.org\/10.1142\/S0218126619500993","journal-title":"J Circuits Syst Comput"},{"issue":"8","key":"1430_CR7","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1587\/transinf.E96.D.1793","volume":"96","author":"D Park","year":"2013","unstructured":"Park D, Han DK, Jeon C, Ko H (2013) Fast single image de-hazing using characteristics of rgb channel of foggy image. IEICE Trans Inf Syst 96(8):1793\u20131799","journal-title":"IEICE Trans Inf Syst"},{"issue":"13","key":"1430_CR8","doi-asserted-by":"publisher","first-page":"6712","DOI":"10.3390\/app12136712","volume":"12","author":"Z Liu","year":"2022","unstructured":"Liu Z, Hong H, Gan Z, Wang J, Chen Y (2022) An improved method for evaluating image sharpness based on edge information. Appl Sci 12(13):6712. https:\/\/doi.org\/10.3390\/app12136712","journal-title":"Appl Sci"},{"issue":"05","key":"1430_CR9","doi-asserted-by":"publisher","first-page":"2150078","DOI":"10.1142\/S021812662150078X","volume":"30","author":"K Mondal","year":"2021","unstructured":"Mondal K, Rabidas R, Dasgupta R, Midya A, Chakraborty J (2021) Enhancement of hazy images using atmospheric light estimation technique. J Circuits Syst Comput 30(05):2150078. https:\/\/doi.org\/10.1142\/S021812662150078X","journal-title":"J Circuits Syst Comput"},{"issue":"2","key":"1430_CR10","doi-asserted-by":"publisher","first-page":"999","DOI":"10.1109\/TIP.2017.2771158","volume":"27","author":"TM Bui","year":"2018","unstructured":"Bui TM, Kim W (2018) Single image dehazing using color ellipsoid prior. IEEE Trans Image Process 27(2):999\u20131009. https:\/\/doi.org\/10.1109\/TIP.2017.2771158","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"1430_CR11","doi-asserted-by":"publisher","first-page":"2179","DOI":"10.1007\/s40747-021-00428-4","volume":"7","author":"AE Ilesanmi","year":"2021","unstructured":"Ilesanmi AE, Ilesanmi TO (2021) Methods for image denoising using convolutional neural network: a review. Complex Intell Syst 7(5):2179\u20132198. https:\/\/doi.org\/10.1007\/s40747-021-00428-4","journal-title":"Complex Intell Syst"},{"issue":"6","key":"1430_CR12","doi-asserted-by":"publisher","first-page":"6815","DOI":"10.3233\/JIFS-210733","volume":"41","author":"R Song","year":"2021","unstructured":"Song R, Liu Z, Wang C (2021) End-to-end dehazing of traffic sign images using reformulated atmospheric scattering model. J Intell Fuzzy Syst 41(6):6815\u20136830. https:\/\/doi.org\/10.3233\/JIFS-210733","journal-title":"J Intell Fuzzy Syst"},{"key":"1430_CR13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12287","author":"B Li","year":"2018","unstructured":"Li B, Peng X, Wang Z, Xu J, Feng D (2018) End-to-end united video dehazing and detection. Proc AAAI Conf Artif Intell. https:\/\/doi.org\/10.1609\/aaai.v32i1.12287","journal-title":"Proc AAAI Conf Artif Intell"},{"issue":"5","key":"1430_CR14","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1063\/1.3037551","volume":"30","author":"EJ McCartney","year":"1977","unstructured":"McCartney EJ, Hall J, Freeman F (1977) Optics of the atmosphere: scattering by molecules and particles. Phys Today 30(5):76\u201377. https:\/\/doi.org\/10.1063\/1.3037551","journal-title":"Phys Today"},{"issue":"11","key":"1430_CR15","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 (2016) Dehazenet: an end-to-end system for single image haze removal. IEEE Trans Image Process 25(11):5187\u20135198. https:\/\/doi.org\/10.1109\/TIP.2016.2598681","journal-title":"IEEE Trans Image Process"},{"key":"1430_CR16","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 the IEEE international conference on computer vision, pp 4770\u20134778","DOI":"10.1109\/ICCV.2017.511"},{"key":"1430_CR17","unstructured":"Liu Y, Zhao G (2018) Pad-net: a perception-aided single image dehazing network. arXiv preprint arXiv:1805.03146"},{"key":"1430_CR18","doi-asserted-by":"crossref","unstructured":"Guo T, Li X, Cherukuri V, Monga V (2019) Dense scene information estimation network for dehazing. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops","DOI":"10.1109\/CVPRW.2019.00265"},{"issue":"1","key":"1430_CR19","doi-asserted-by":"publisher","first-page":"4945214","DOI":"10.1155\/2020\/4945214","volume":"2020","author":"W Qian","year":"2020","unstructured":"Qian W, Zhou C, Zhang D (2020) Faod-net: a fast aod-net for dehazing single image. Math Probl Eng 2020(1):4945214. https:\/\/doi.org\/10.1155\/2020\/4945214","journal-title":"Math Probl Eng"},{"key":"1430_CR20","doi-asserted-by":"publisher","first-page":"2180","DOI":"10.1109\/TIP.2021.3050643","volume":"30","author":"M Ju","year":"2021","unstructured":"Ju M, Ding C, Ren W, Yang Y, Zhang D, Guo YJ (2021) Ide: image dehazing and exposure using an enhanced atmospheric scattering model. IEEE Trans Image Process 30:2180\u20132192. https:\/\/doi.org\/10.1109\/TIP.2021.3050643","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"1430_CR21","doi-asserted-by":"publisher","first-page":"2880","DOI":"10.1109\/TETCI.2024.3386838","volume":"8","author":"X Wang","year":"2024","unstructured":"Wang X, Chen X, Ren W, Han Z, Fan H, Tang Y, Liu L (2024) Compensation atmospheric scattering model and two-branch network for single image dehazing. IEEE Trans Emerg Top Comput Intell 8(4):2880\u20132896. https:\/\/doi.org\/10.1109\/TETCI.2024.3386838","journal-title":"IEEE Trans Emerg Top Comput Intell"},{"key":"1430_CR22","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 the IEEE\/CVF international conference on computer vision, pp 7314\u20137323","DOI":"10.1109\/ICCV.2019.00741"},{"key":"1430_CR23","doi-asserted-by":"crossref","unstructured":"Zhang H, Patel VM (2018) Densely connected pyramid dehazing network. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3194\u20133203","DOI":"10.1109\/CVPR.2018.00337"},{"issue":"07","key":"1430_CR24","doi-asserted-by":"publisher","first-page":"11908","DOI":"10.1609\/aaai.v34i07.6865","volume":"34","author":"X Qin","year":"2020","unstructured":"Qin X, Wang Z, Bai Y, Xie X, Jia H (2020) Ffa-net: feature fusion attention network for single image dehazing. Proc AAAI Conf Artif Intel 34(07):11908\u201311915. https:\/\/doi.org\/10.1609\/aaai.v34i07.6865","journal-title":"Proc AAAI Conf Artif Intel"},{"key":"1430_CR25","doi-asserted-by":"publisher","unstructured":"Chen D, He M, Fan Q, Liao J, Zhang L, Hou D, Yuan L, Hua G (2019) Gated context aggregation network for image dehazing and deraining. In: 2019 IEEE winter conference on applications of computer vision (WACV), pp 1375\u20131383 . https:\/\/doi.org\/10.1109\/WACV.2019.00151","DOI":"10.1109\/WACV.2019.00151"},{"key":"1430_CR26","doi-asserted-by":"crossref","unstructured":"Ren W, Ma L, Zhang J, Pan J, Cao X, Liu W, Yang M-H (2018) Gated fusion network for single image dehazing. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3253\u20133261","DOI":"10.1109\/CVPR.2018.00343"},{"key":"1430_CR27","doi-asserted-by":"publisher","unstructured":"Valanarasu JMJ, Yasarla R, Patel VM (2022) Transweather: transformer-based restoration of images degraded by adverse weather conditions. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 2353\u20132363 . https:\/\/doi.org\/10.1109\/CVPR52688.2022.00239","DOI":"10.1109\/CVPR52688.2022.00239"},{"key":"1430_CR28","doi-asserted-by":"publisher","unstructured":"Tang C, Yao W (2022) Ndpc-net: a dehazing network in nighttime hazy traffic environments. In: 2022 IEEE 4th international conference on power, intelligent computing and systems, pp 312\u2013317 . https:\/\/doi.org\/10.1109\/ICPICS55264.2022.9873772","DOI":"10.1109\/ICPICS55264.2022.9873772"},{"key":"1430_CR29","doi-asserted-by":"publisher","unstructured":"Luo P, Xiao G, Gao X, Wu S (2023) Lkd-net: large kernel convolution network for single image dehazing. In: 2023 IEEE international conference on multimedia and expo (ICME), pp 1601\u20131606 . https:\/\/doi.org\/10.1109\/ICME55011.2023.00276","DOI":"10.1109\/ICME55011.2023.00276"},{"key":"1430_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 (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":"1430_CR31","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":"1430_CR32","doi-asserted-by":"publisher","first-page":"7686","DOI":"10.1109\/TMM.2022.3225712","volume":"25","author":"A Kulkarni","year":"2023","unstructured":"Kulkarni A, Patil PW, Murala S, Gupta S (2023) Unified multi-weather visibility restoration. IEEE Trans Multimed 25:7686\u20137698. https:\/\/doi.org\/10.1109\/TMM.2022.3225712","journal-title":"IEEE Trans Multimed"},{"key":"1430_CR33","doi-asserted-by":"publisher","unstructured":"Zhu Y, Wang T, Fu X, Yang X, Guo X, Dai J, Qiao Y, Hu X (2023) Learning weather-general and weather-specific features for image restoration under multiple adverse weather conditions. In: 2023 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 21747\u201321758 . https:\/\/doi.org\/10.1109\/CVPR52729.2023.02083","DOI":"10.1109\/CVPR52729.2023.02083"},{"key":"1430_CR34","doi-asserted-by":"publisher","unstructured":"Patil PW, Gupta S, Rana S, Venkatesh S, Murala S (2023) Multi-weather image restoration via domain translation. In: 2023 IEEE\/CVF international conference on computer vision (ICCV), pp 21639\u201321648 . https:\/\/doi.org\/10.1109\/ICCV51070.2023.01983","DOI":"10.1109\/ICCV51070.2023.01983"},{"issue":"8","key":"1430_CR35","doi-asserted-by":"publisher","first-page":"10346","DOI":"10.1109\/TPAMI.2023.3238179","volume":"45","author":"O \u00d6zdenizci","year":"2023","unstructured":"\u00d6zdenizci O, Legenstein R (2023) Restoring vision in adverse weather conditions with patch-based denoising diffusion models. IEEE Trans Pattern Anal Mach Intell 45(8):10346\u201310357. https:\/\/doi.org\/10.1109\/TPAMI.2023.3238179","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"1430_CR36","doi-asserted-by":"publisher","first-page":"7030735","DOI":"10.1155\/2022\/7030735","volume":"2022","author":"J Liao","year":"2022","unstructured":"Liao J (2022) Optimization and application of image defogging algorithm based on deep learning network. J Sens 2022(1):7030735. https:\/\/doi.org\/10.1155\/2022\/7030735","journal-title":"J Sens"},{"key":"1430_CR37","doi-asserted-by":"publisher","first-page":"1217","DOI":"10.1109\/TIP.2022.3140609","volume":"31","author":"H Bai","year":"2022","unstructured":"Bai H, Pan J, Xiang X, Tang J (2022) Self-guided image dehazing using progressive feature fusion. IEEE Trans Image Process 31:1217\u20131229. https:\/\/doi.org\/10.1109\/TIP.2022.3140609","journal-title":"IEEE Trans Image Process"},{"key":"1430_CR38","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/TIP.2024.3504298","volume":"34","author":"M Li","year":"2025","unstructured":"Li M, Zhang X, Liao T, Lin S, Xiao G (2025) Pth-net: dynamic facial expression recognition without face detection and alignment. IEEE Trans Image Process 34:30\u201343. https:\/\/doi.org\/10.1109\/TIP.2024.3504298","journal-title":"IEEE Trans Image Process"},{"key":"1430_CR39","doi-asserted-by":"crossref","unstructured":"Zhang Y, Tian Y, Kong Y, Zhong B, Fu Y (2018) Residual dense network for image super-resolution. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2472\u20132481","DOI":"10.1109\/CVPR.2018.00262"},{"key":"1430_CR40","doi-asserted-by":"crossref","unstructured":"Hu J, Shen L, Sun G (2018) Squeeze-and-excitation networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7132\u20137141","DOI":"10.1109\/CVPR.2018.00745"},{"key":"1430_CR41","first-page":"1","volume":"29","author":"W Luo","year":"2016","unstructured":"Luo W, Li Y, Urtasun R, Zemel R (2016) Understanding the effective receptive field in deep convolutional neural networks. Adv Neural Inf Process Syst 29:1\u20139","journal-title":"Adv Neural Inf Process Syst"},{"key":"1430_CR42","unstructured":"Yu F, Koltun V (2015) Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122"},{"key":"1430_CR43","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: Computer vision\u2013ECCV 2016: 14th European conference, Amsterdam, The Netherlands, October 11\u201314, 2016, proceedings, Part II 14, pp 694\u2013711","DOI":"10.1007\/978-3-319-46475-6_43"},{"issue":"1","key":"1430_CR44","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2019","unstructured":"Li B, Ren W, Fu D, Tao D, Feng D, Zeng W, Wang Z (2019) Benchmarking single-image dehazing and beyond. IEEE Trans Image Process 28(1):492\u2013505. https:\/\/doi.org\/10.1109\/TIP.2018.2867951","journal-title":"IEEE Trans Image Process"},{"key":"1430_CR45","doi-asserted-by":"crossref","unstructured":"Zhang R, Isola P, Efros AA, Shechtman E, Wang O (2018) The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 586\u2013595","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-025-01430-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-025-01430-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-025-01430-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T16:39:14Z","timestamp":1751474354000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-025-01430-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,22]]},"references-count":45,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["1430"],"URL":"https:\/\/doi.org\/10.1007\/s10044-025-01430-z","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,22]]},"assertion":[{"value":"18 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There are no confict of interest to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"51"}}