{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:10:45Z","timestamp":1778458245515,"version":"3.51.4"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032199775","type":"print"},{"value":"9783032199782","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-19978-2_25","type":"book-chapter","created":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:07:01Z","timestamp":1778458021000},"page":"342-352","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comparative Analysis of\u00a0Image Enhancement Methods Under Hazy Weather for\u00a0Autonomous Driving"],"prefix":"10.1007","author":[{"given":"Yasmine","family":"Abualroos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9473-2365","authenticated-orcid":false,"given":"Obada","family":"Al-Khatib","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9434-2914","authenticated-orcid":false,"given":"Ghalia","family":"Nassreddine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5712-2138","authenticated-orcid":false,"given":"Amal","family":"El Arid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6748-7368","authenticated-orcid":false,"given":"Mohamad","family":"Nassereddine","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,11]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"110900","DOI":"10.1109\/ACCESS.2025.3582681","volume":"13","author":"H Hennaoui","year":"2025","unstructured":"Hennaoui, H., Paluszczyszyn, D., Deka, L., Cosar, S.: A Framework for Assessment of Perception Systems in Autonomous Vehicles. IEEE Access 13, 110900\u2013110912 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3582681","journal-title":"IEEE Access"},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"110867","DOI":"10.1109\/ACCESS.2025.3583341","volume":"13","author":"BN Anoop","year":"2025","unstructured":"Anoop, B.N., Abhilash, S.K., Nookala, V.M., Prita, S., Raghavendra, S.: YLOMF: you look once for multi-feature-a multi-feature multi-task network for intelligent real-time perception in autonomous driving. IEEE Access 13, 110867\u2013110881 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3583341","journal-title":"IEEE Access"},{"issue":"4","key":"25_CR3","doi-asserted-by":"publisher","first-page":"4692","DOI":"10.1109\/TITS.2025.3543809","volume":"26","author":"Y Zhang","year":"2025","unstructured":"Zhang, Y., et al.: Vision-based geometric model for accurate and fast lane recognition in complex conditions. IEEE Trans. Intell. Transp. Syst. 26(4), 4692\u20134704 (2025). https:\/\/doi.org\/10.1109\/TITS.2025.3543809","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"4","key":"25_CR4","doi-asserted-by":"publisher","first-page":"5332","DOI":"10.1109\/TITS.2025.3525638","volume":"26","author":"B Zhu","year":"2025","unstructured":"Zhu, B., Huang, Y., Zhao, J., Zhang, P., Han, J., Song, D.: Synthetic image generation model for intelligent vehicle camera function testing in rain and fog. IEEE Trans. Intell. Transp. Syst. 26(4), 5332\u20135347 (2025). https:\/\/doi.org\/10.1109\/TITS.2025.3525638","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"25_CR5","doi-asserted-by":"publisher","first-page":"11185","DOI":"10.1109\/ACCESS.2024.3354975","volume":"12","author":"I-C Sang","year":"2024","unstructured":"Sang, I.-C., Norris, W.R.: A robust lane detection algorithm adaptable to challenging weather conditions. IEEE Access 12, 11185\u201311195 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3354975","journal-title":"IEEE Access"},{"issue":"6","key":"25_CR6","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/MITS.2023.3298534","volume":"15","author":"Y Han","year":"2023","unstructured":"Han, Y., Zhang, H., Li, H., Jin, Y., Lang, C., Li, Y.: Collaborative perception in autonomous driving: methods, datasets, and challenges. IEEE Intell. Transp. Syst. Magaz. 15(6), 131\u2013151 (2023). https:\/\/doi.org\/10.1109\/MITS.2023.3298534","journal-title":"IEEE Intell. Transp. Syst. Magaz."},{"issue":"6","key":"25_CR7","doi-asserted-by":"publisher","first-page":"2972","DOI":"10.3390\/s23062972","volume":"23","author":"J Kim","year":"2023","unstructured":"Kim, J., Park, B.J., Kim, J.: Empirical Analysis of Autonomous Vehicle\u2019s LiDAR Detection Performance Degradation for Actual Road Driving in Rain and Fog. Sensors 23(6), 2972 (2023)","journal-title":"Sensors"},{"issue":"10","key":"25_CR8","doi-asserted-by":"publisher","first-page":"6462","DOI":"10.1109\/TIV.2024.3369733","volume":"9","author":"S Sheng","year":"2024","unstructured":"Sheng, S., Formosa, N., Hossain, M., Quddus, M.: Advancements in lane marking detection: an extensive evaluation of current methods and future research direction. IEEE Trans. Intell. Veh. 9(10), 6462\u20136473 (2024). https:\/\/doi.org\/10.1109\/TIV.2024.3369733","journal-title":"IEEE Trans. Intell. Veh."},{"key":"25_CR9","doi-asserted-by":"publisher","first-page":"58443","DOI":"10.1109\/ACCESS.2020.2983149","volume":"8","author":"E Yurtsever","year":"2020","unstructured":"Yurtsever, E., Lambert, J., Carballo, A., Takeda, K.: A survey of autonomous driving: Common practices and emerging technologies. IEEE Access 8, 58443\u201358469 (2020)","journal-title":"IEEE Access"},{"issue":"2","key":"25_CR10","doi-asserted-by":"publisher","first-page":"72","DOI":"10.3390\/wevj16020072","volume":"16","author":"T Mo","year":"2025","unstructured":"Mo, T., Zheng, S., Chan, W.-Y., Yang, R.: Review of AI image enhancement techniques for in-vehicle vision systems under adverse weather conditions. World Electric Vehicle Journal 16(2), 72 (2025). https:\/\/doi.org\/10.3390\/wevj16020072","journal-title":"World Electric Vehicle Journal"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Das, B., Ebenezer, J.P., Mukhopadhyay, S.: A comparative study of single image fog removal methods. Visual Comput. 38, 179\u2013195 (2022). https:\/\/doi.org\/10.1007\/s00371-020-02010-4","DOI":"10.1007\/s00371-020-02010-4"},{"key":"25_CR12","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.isprsjprs.2022.12.021","volume":"196","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Carballo, A., Yang, H., Takeda, K.: Perception and sensing for autonomous vehicles under adverse weather conditions: A survey. ISPRS J. Photogramm. Remote. Sens. 196, 146\u2013177 (2023). https:\/\/doi.org\/10.1016\/j.isprsjprs.2022.12.021","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"25_CR13","doi-asserted-by":"crossref","unstructured":"Li, J., Niu, J., Pang, Y., Liu, J.: Diff-HazeNet: enhancing real-world image dehazing via diffusion models in complex conditions. The Visual Computer (2025)","DOI":"10.1007\/s00371-025-04140-z"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Liu, F., Wang, J., Pan, Y.: Optimization and Performance Comparison of AOD-Net and DehazeFormer Dehazing Algorithms. AI 6(8), 181 (2025)","DOI":"10.3390\/ai6080181"},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Kulkarni, A., Phutke, S.S., Murala, S.: Unified transformer network for multi-weather image restoration. Lecture Notes in Computer Science, pp. 344\u2013360. Springer, Cham (2023)","DOI":"10.1007\/978-3-031-25063-7_21"},{"key":"25_CR16","first-page":"211","volume":"44","author":"M Liao","year":"2023","unstructured":"Liao, M., Lu, Y., Zhang, J., Zhao, Y., Di, S.: Image dehazing method based on haze-line and color attenuation prior. Tongxin Xuebao 44, 211\u2013222 (2023)","journal-title":"Tongxin Xuebao"},{"key":"25_CR17","doi-asserted-by":"publisher","unstructured":"Zhu, Z.-H., et al.: Real-world remote sensing image dehazing: benchmark and baseline. IEEE Trans. Geosci. Remote Sensing 63, 1\u201314, 2025, Art no. 4705014. https:\/\/doi.org\/10.1109\/TGRS.2025.3584234","DOI":"10.1109\/TGRS.2025.3584234"},{"key":"25_CR18","unstructured":"Gupta, R.: Dense-Haze CVPR 2019. Kaggle.com (2019). https:\/\/www.kaggle.com\/datasets\/rajat95gupta\/hazing-images-dataset-cvpr-2019"},{"key":"25_CR19","doi-asserted-by":"crossref","unstructured":"Su, X., Dai, P., Lv, C., Zheng, Z.: 4K-HAZE: a dehazing benchmark with 4K resolution hazy and haze-free images. Neurocomputing 650 (2025). https:\/\/doi.org\/10.1016\/j.neucom.2025.130861","DOI":"10.1016\/j.neucom.2025.130861"},{"key":"25_CR20","doi-asserted-by":"publisher","unstructured":"Kenk, M.: DAWN. https:\/\/doi.org\/10.17632\/766ygrbt8y.3","DOI":"10.17632\/766ygrbt8y.3"},{"issue":"2","key":"25_CR21","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1007\/s11760-022-02252-w","volume":"17","author":"Z Cui","year":"2023","unstructured":"Cui, Z., Wang, N., Su, Y., Zhang, W., Lan, Y., Li, A.: ECANet: enhanced context aggregation network for single image dehazing. SIViP 17(2), 471\u2013479 (2023)","journal-title":"SIViP"},{"key":"25_CR22","doi-asserted-by":"publisher","unstructured":"R. C, P. C, J. G.K and K. B.: Haze Removal of Pedestrian Monitoring Images Using Dark Channel Prior Technique. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India, pp. 361\u2013366 (2023). https:\/\/doi.org\/10.1109\/iTechSECOM59882.2023.10435173.","DOI":"10.1109\/iTechSECOM59882.2023.10435173."},{"key":"25_CR23","doi-asserted-by":"publisher","unstructured":"Pham, N.-H.-H., Sun, C.-C.: A FPGA-based system implementation of single image haze removal using improved dark channel prior. In: 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), Nara, Japan, 2023, pp. 749\u2013750. https:\/\/doi.org\/10.1109\/GCCE59613.2023.10315295","DOI":"10.1109\/GCCE59613.2023.10315295"},{"key":"25_CR24","unstructured":"David, B.: IMPROVED FOG-REMOVING METHOD. https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/66514-improved-fog-removing-method"},{"key":"25_CR25","doi-asserted-by":"publisher","unstructured":"Singhai, J., Agrawal, D., Yadav, A.C., Tyagi, P.K.: Image enhancement for low-light and hazy conditions using retinex theory and wavelet transform fusion. In: 2023 26th International Conference on Information Fusion (FUSION), Charleston, SC, USA, 2023, pp. 1\u20135. https:\/\/doi.org\/10.23919\/FUSION52260.2023.10224102.","DOI":"10.23919\/FUSION52260.2023.10224102."},{"key":"25_CR26","doi-asserted-by":"publisher","unstructured":"Gao, Y., Xu, W., Lu, Y.: Let you see in haze and sandstorm: two-in-one low-visibility enhancement network. IEEE Trans. Instrumentation Measure. 72, 1\u201312 (2023). Art no. 5023712, https:\/\/doi.org\/10.1109\/TIM.2023.3304668","DOI":"10.1109\/TIM.2023.3304668"},{"issue":"7","key":"25_CR27","doi-asserted-by":"publisher","first-page":"3528","DOI":"10.1109\/TIP.2019.2898638","volume":"28","author":"F Zhou","year":"2019","unstructured":"Zhou, F., Yao, R., Liu, B., Qiu, G.: Visual Quality Assessment for Super-Resolved Images: Database and Method. IEEE Trans. Image Process. 28(7), 3528\u20133541 (2019). https:\/\/doi.org\/10.1109\/TIP.2019.2898638","journal-title":"IEEE Trans. Image Process."},{"key":"25_CR28","unstructured":"MathWorks, Calculate PSNR for Noisy Image Given Original Image as Reference. https:\/\/www.mathworks.com\/help\/images\/ref\/psnr.html"},{"key":"25_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, H., Yuan, B., Dong, B., Jiang, Z.: No-Reference Blurred Image Quality Assessment by Structural Similarity Index. Appl. Sci. 8(10) (2018)","DOI":"10.3390\/app8102003"},{"key":"25_CR30","doi-asserted-by":"publisher","unstructured":"Fieraru, C.G., Biseric\u0103, M., Cristina Plajer, I., Ivanovici, M.: Comparing Blind Image Quality Metrics for Reliable Image Assessment. In: IEEE Access, vol. 13, pp. 110322-110335, 2025, https:\/\/doi.org\/10.1109\/ACCESS.2025.3583029","DOI":"10.1109\/ACCESS.2025.3583029"},{"issue":"1","key":"25_CR31","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1504\/IJCSE.2024.136250","volume":"27","author":"X Li","year":"2024","unstructured":"Li, X., Pan, J., Shang, J., Souri, A., Gao, M.: An improved blind\/referenceless image spatial quality evaluator algorithm for image quality assessment. Int. J. Comput. Sci. Eng. 27(1), 48\u201356 (2024). https:\/\/doi.org\/10.1504\/IJCSE.2024.136250","journal-title":"Int. J. Comput. Sci. Eng."},{"key":"25_CR32","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1109\/LSP.2024.3392671","volume":"31","author":"Z Wang","year":"2024","unstructured":"Wang, Z., Yuan, L., Zhai, G.: Channel attention for no-reference image quality assessment in DCT domain. IEEE Signal Process. Lett. 31, 1274\u20131278 (2024). https:\/\/doi.org\/10.1109\/LSP.2024.3392671","journal-title":"IEEE Signal Process. Lett."}],"container-title":["Lecture Notes in Computer Science","Internet of Things, Smart Spaces, and Next Generation Networks and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-19978-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T00:07:03Z","timestamp":1778458023000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-19978-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032199775","9783032199782"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-19978-2_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"11 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NEW2AN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Next Generation Wired\/Wireless Networking","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Abu Dhabi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Arab Emirates","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"new2an2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.new2an.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}