{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T09:25:24Z","timestamp":1787217924114,"version":"build-2736575974"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.patcog.2026.114300","type":"journal-article","created":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T22:06:24Z","timestamp":1782079584000},"page":"114300","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["Variational image dehazing method based on joint color-brightness decomposition"],"prefix":"10.1016","volume":"180","author":[{"given":"Yin","family":"Gao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yibin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binhe","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0355-997X","authenticated-orcid":false,"given":"Jun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.114300_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102151","article-title":"Recent advances in image dehazing: Formal analysis to automated approaches","volume":"104","author":"Goyal","year":"2024","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2026.114300_b2","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/s11263-019-01235-8","article-title":"Single image dehazing via multi-scale convolutional neural networks with holistic edges","volume":"128","author":"Ren","year":"2020","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.patcog.2026.114300_b3","series-title":"Proceedings of the Seventh IEEE International Conference on Computer Vision","first-page":"820","article-title":"Vision in bad weather","volume":"Vol. 2","author":"Nayar","year":"1999"},{"issue":"12","key":"10.1016\/j.patcog.2026.114300_b4","first-page":"2341","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114300_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109522","article-title":"Boundary-constrained robust regularization for single image dehazing","volume":"140","author":"Ali","year":"2023","journal-title":"Pattern Recognit."},{"issue":"11","key":"10.1016\/j.patcog.2026.114300_b6","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1109\/TIP.2015.2446191","article-title":"A fast single image haze removal algorithm using color attenuation prior","volume":"24","author":"Zhu","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b7","doi-asserted-by":"crossref","unstructured":"D. Berman, S. Avidan, et al., Non-local image dehazing, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016, pp. 1674\u20131682.","DOI":"10.1109\/CVPR.2016.185"},{"issue":"4","key":"10.1016\/j.patcog.2026.114300_b8","article-title":"Dehazing algorithm for complex environment video images considering visual communication effects","volume":"17","author":"Yu","year":"2024","journal-title":"J. Radiat. Res. Appl. Sci."},{"key":"10.1016\/j.patcog.2026.114300_b9","doi-asserted-by":"crossref","unstructured":"X. Zhang, H. Dong, J. Pan, C. Zhu, Y. Tai, C. Wang, J. Li, F. Huang, F. Wang, Learning to restore hazy video: A new real-world dataset and a new method, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 9239\u20139248.","DOI":"10.1109\/CVPR46437.2021.00912"},{"issue":"11","key":"10.1016\/j.patcog.2026.114300_b10","doi-asserted-by":"crossref","first-page":"3957","DOI":"10.1109\/TCSVT.2019.2917315","article-title":"Color transferred convolutional neural networks for image dehazing","volume":"30","author":"Yin","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.114300_b11","doi-asserted-by":"crossref","unstructured":"J. Fan, K. Wang, Z. Yan, X. Chen, S. Gao, J. Li, J. Yang, Depth-centric dehazing and depth-estimation from real-world hazy driving video, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39, 2025, pp. 2852\u20132860.","DOI":"10.1609\/aaai.v39i3.32291"},{"issue":"12","key":"10.1016\/j.patcog.2026.114300_b12","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1007\/s11760-025-04625-3","article-title":"Joint deep learning and atmospheric light scattering for fast image dehazing","volume":"19","author":"Cimtay","year":"2025","journal-title":"Signal Image Video Process."},{"key":"10.1016\/j.patcog.2026.114300_b13","doi-asserted-by":"crossref","unstructured":"X. Cong, J. Gui, J. Zhang, J. Hou, H. Shen, A semi-supervised nighttime dehazing baseline with spatial-frequency aware and realistic brightness constraint, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 2631\u20132640.","DOI":"10.1109\/CVPR52733.2024.00254"},{"key":"10.1016\/j.patcog.2026.114300_b14","doi-asserted-by":"crossref","unstructured":"J. Xu, X. Hu, L. Zhu, Q. Dou, J. Dai, Y. Qiao, P.-A. Heng, Video dehazing via a multi-range temporal alignment network with physical prior, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 18053\u201318062.","DOI":"10.1109\/CVPR52729.2023.01731"},{"key":"10.1016\/j.patcog.2026.114300_b15","doi-asserted-by":"crossref","unstructured":"L. Ma, Y. Feng, Y. Zhang, J. Liu, W. Wang, G.-Y. Chen, C. Xu, Z. Su, Coa: Towards real image dehazing via compression-and-adaptation, in: Proceedings of the Computer Vision and Pattern Recognition Conference, 2025, pp. 11197\u201311206.","DOI":"10.1109\/CVPR52734.2025.01046"},{"key":"10.1016\/j.patcog.2026.114300_b16","doi-asserted-by":"crossref","unstructured":"Y. Zhang, S. Zhou, H. Li, Depth information assisted collaborative mutual promotion network for single image dehazing, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 2846\u20132855.","DOI":"10.1109\/CVPR52733.2024.00275"},{"key":"10.1016\/j.patcog.2026.114300_b17","doi-asserted-by":"crossref","first-page":"3238","DOI":"10.1109\/TIP.2023.3279980","article-title":"Single image dehazing using saturation line prior","volume":"32","author":"Ling","year":"2023","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b18","series-title":"2017 IEEE International Conference on Computational Photography","first-page":"1","article-title":"Air-light estimation using haze-lines","author":"Berman","year":"2017"},{"issue":"19","key":"10.1016\/j.patcog.2026.114300_b19","doi-asserted-by":"crossref","first-page":"10909","DOI":"10.3390\/app131910909","article-title":"Visual image dehazing using polarimetric atmospheric light estimation","volume":"13","author":"Liu","year":"2023","journal-title":"Appl. Sci."},{"key":"10.1016\/j.patcog.2026.114300_b20","series-title":"ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing","first-page":"2040","article-title":"FWB-Net: front white balance network for color shift correction in single image dehazing via atmospheric light estimation","author":"Wang","year":"2021"},{"key":"10.1016\/j.patcog.2026.114300_b21","article-title":"A polarization-based dehazing method leveraging multi-angle DoP distribution and dual constraints","author":"Zhao","year":"2025","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"10.1016\/j.patcog.2026.114300_b22","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1109\/TIP.2018.2876178","article-title":"Deep video dehazing with semantic segmentation","volume":"28","author":"Ren","year":"2018","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"10.1016\/j.patcog.2026.114300_b23","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1109\/JSEE.2015.00116","article-title":"Improved single image dehazing using dark channel prior","volume":"26","author":"Fu","year":"2015","journal-title":"J. Syst. Eng. Electron."},{"issue":"5","key":"10.1016\/j.patcog.2026.114300_b24","doi-asserted-by":"crossref","first-page":"2357","DOI":"10.1109\/TIP.2018.2885490","article-title":"A fast image dehazing algorithm using morphological reconstruction","volume":"28","author":"Salazar-Colores","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b25","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1007\/s11554-020-00953-4","article-title":"Real-time image dehazing by superpixels segmentation and guidance filter","volume":"18","author":"Hassan","year":"2021","journal-title":"J. Real-Time Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b26","article-title":"An unsupervised image dehazing method using patch-line and fuzzy clustering-line priors","author":"Liao","year":"2024","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"8","key":"10.1016\/j.patcog.2026.114300_b27","doi-asserted-by":"crossref","first-page":"3271","DOI":"10.1109\/TIP.2013.2262284","article-title":"Single image dehazing by multi-scale fusion","volume":"22","author":"Ancuti","year":"2013","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b28","doi-asserted-by":"crossref","unstructured":"B. Li, X. Peng, Z. Wang, J. Xu, D. Feng, Aod-net: All-in-one dehazing network, in: Proceedings of the IEEE International Conference on Computer Vision, 2017, pp. 4770\u20134778.","DOI":"10.1109\/ICCV.2017.511"},{"key":"10.1016\/j.patcog.2026.114300_b29","doi-asserted-by":"crossref","unstructured":"H. Zhang, V.M. Patel, Densely connected pyramid dehazing network, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 3194\u20133203.","DOI":"10.1109\/CVPR.2018.00337"},{"issue":"3","key":"10.1016\/j.patcog.2026.114300_b30","doi-asserted-by":"crossref","first-page":"911","DOI":"10.3390\/s22030911","article-title":"Color-dense illumination adjustment network for removing haze and smoke from fire scenario images","volume":"22","author":"Wang","year":"2022","journal-title":"Sensors"},{"issue":"11","key":"10.1016\/j.patcog.2026.114300_b31","doi-asserted-by":"crossref","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","article-title":"Dehazenet: An end-to-end system for single image haze removal","volume":"25","author":"Cai","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b32","doi-asserted-by":"crossref","unstructured":"X. Liu, Y. Ma, Z. Shi, J. Chen, Griddehazenet: Attention-based multi-scale network for image dehazing, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 7314\u20137323.","DOI":"10.1109\/ICCV.2019.00741"},{"key":"10.1016\/j.patcog.2026.114300_b33","doi-asserted-by":"crossref","unstructured":"H. Dong, J. Pan, L. Xiang, Z. Hu, X. Zhang, F. Wang, M.-H. Yang, Multi-scale boosted dehazing network with dense feature fusion, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 2157\u20132167.","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"10.1016\/j.patcog.2026.114300_b34","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1109\/TIP.2024.3354108","article-title":"DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention","volume":"33","author":"Chen","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b35","doi-asserted-by":"crossref","unstructured":"J.M.J. Valanarasu, R. Yasarla, V.M. Patel, Transweather: Transformer-based restoration of images degraded by adverse weather conditions, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 2353\u20132363.","DOI":"10.1109\/CVPR52688.2022.00239"},{"issue":"4","key":"10.1016\/j.patcog.2026.114300_b36","doi-asserted-by":"crossref","first-page":"2807","DOI":"10.1007\/s00371-023-02987-8","article-title":"DFC-dehaze: an improved cycle-consistent generative adversarial network for unpaired image dehazing","volume":"40","author":"Wang","year":"2024","journal-title":"Vis. Comput."},{"key":"10.1016\/j.patcog.2026.114300_b37","doi-asserted-by":"crossref","unstructured":"D. Engin, A. Gen\u00e7, H. Kemal Ekenel, Cycle-dehaze: Enhanced cyclegan for single image dehazing, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018, pp. 825\u2013833.","DOI":"10.1109\/CVPRW.2018.00127"},{"key":"10.1016\/j.patcog.2026.114300_b38","doi-asserted-by":"crossref","unstructured":"Y. Yang, C. Wang, R. Liu, L. Zhang, X. Guo, D. Tao, Self-augmented unpaired image dehazing via density and depth decomposition, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 2037\u20132046.","DOI":"10.1109\/CVPR52688.2022.00208"},{"issue":"11","key":"10.1016\/j.patcog.2026.114300_b39","doi-asserted-by":"crossref","first-page":"20368","DOI":"10.1109\/TITS.2022.3170328","article-title":"Cycle-snspgan: Towards real-world image dehazing via cycle spectral normalized soft likelihood estimation patch gan","volume":"23","author":"Wang","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.patcog.2026.114300_b40","doi-asserted-by":"crossref","first-page":"3987","DOI":"10.1109\/TIP.2022.3177321","article-title":"Unsupervised neural rendering for image hazing","volume":"31","author":"Li","year":"2022","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b41","article-title":"An unsupervised dehazing network with hybrid prior constraints for hyperspectral image","author":"He","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.114300_b42","doi-asserted-by":"crossref","first-page":"3642","DOI":"10.1109\/TMM.2022.3163457","article-title":"Improving color constancy using chromaticity-line prior","volume":"25","author":"Zhao","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114300_b43","doi-asserted-by":"crossref","unstructured":"Q. Yan, Y. Feng, C. Zhang, G. Pang, K. Shi, P. Wu, W. Dong, J. Sun, Y. Zhang, Hvi: A new color space for low-light image enhancement, in: Proceedings of the Computer Vision and Pattern Recognition Conference, 2025, pp. 5678\u20135687.","DOI":"10.1109\/CVPR52734.2025.00533"},{"key":"10.1016\/j.patcog.2026.114300_b44","doi-asserted-by":"crossref","first-page":"2148","DOI":"10.1109\/TMM.2023.3293736","article-title":"Glow in the dark: Low-light image enhancement with external memory","volume":"26","author":"Ye","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114300_b45","series-title":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings","first-page":"I","article-title":"Shedding light on the weather","volume":"Vol. 1","author":"Narasimhan","year":"2003"},{"issue":"3","key":"10.1016\/j.patcog.2026.114300_b46","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/TIP.2012.2226047","article-title":"Efficient contrast enhancement using adaptive gamma correction with weighting distribution","volume":"22","author":"Huang","year":"2012","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b47","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2022.103720","article-title":"Real-world image dehazing with improved joint enhancement and exposure fusion","volume":"90","author":"Kaplan","year":"2023","journal-title":"J. Vis. Commun. Image Represent."},{"key":"10.1016\/j.patcog.2026.114300_b48","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.procs.2024.05.135","article-title":"Single image dehazing via regional saturation-value translation","volume":"237","author":"Tran","year":"2024","journal-title":"Procedia Comput. Sci."},{"key":"10.1016\/j.patcog.2026.114300_b49","doi-asserted-by":"crossref","first-page":"8457","DOI":"10.1109\/TIP.2020.3016134","article-title":"Zero-shot image dehazing","volume":"29","author":"Li","year":"2020","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114300_b50","doi-asserted-by":"crossref","unstructured":"R. Wang, Y. Zheng, Z. Zhang, C. Li, S. Liu, G. Zhai, X. Liu, Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2025, pp. 23091\u201323100.","DOI":"10.1109\/CVPR52734.2025.02150"},{"key":"10.1016\/j.patcog.2026.114300_b51","doi-asserted-by":"crossref","unstructured":"Y. Lan, Z. Cui, C. Liu, J. Peng, N. Wang, X. Luo, D. Liu, Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 39, 2025, pp. 4455\u20134463.","DOI":"10.1609\/aaai.v39i4.32469"},{"issue":"11","key":"10.1016\/j.patcog.2026.114300_b52","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1109\/TIP.2015.2456502","article-title":"Referenceless prediction of perceptual fog density and perceptual image defogging","volume":"24","author":"Choi","year":"2015","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"10.1016\/j.patcog.2026.114300_b53","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","article-title":"Benchmarking single-image dehazing and beyond","volume":"28","author":"Li","year":"2018","journal-title":"IEEE Trans. Image Process."},{"issue":"15","key":"10.1016\/j.patcog.2026.114300_b54","doi-asserted-by":"crossref","first-page":"2822","DOI":"10.3390\/rs16152822","article-title":"A lightweight CNN based on axial depthwise convolution and hybrid attention for remote sensing image dehazing","volume":"16","author":"He","year":"2024","journal-title":"Remote. Sens."},{"key":"10.1016\/j.patcog.2026.114300_b55","doi-asserted-by":"crossref","first-page":"8540","DOI":"10.1109\/TIP.2021.3117076","article-title":"CoANet: Connectivity attention network for road extraction from satellite imagery","volume":"30","author":"Mei","year":"2021","journal-title":"IEEE Trans. Image Process."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326012653?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326012653?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T08:45:02Z","timestamp":1787215502000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326012653"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":55,"alternative-id":["S0031320326012653"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114300","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Variational image dehazing method based on joint color-brightness decomposition","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114300","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"114300"}}