{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T14:15:41Z","timestamp":1778249741117,"version":"3.51.4"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"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","award":["U2568225"],"award-info":[{"award-number":["U2568225"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.knosys.2026.115967","type":"journal-article","created":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:49:20Z","timestamp":1775666960000},"page":"115967","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["BIP-CENet: A Bilateral Prior\u2013Collaborative Enhancement Network with dual-domain priors for low-light image enhancement"],"prefix":"10.1016","volume":"343","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4558-656X","authenticated-orcid":false,"given":"You","family":"Lv","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7899-7312","authenticated-orcid":false,"given":"Ru","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6394-0492","authenticated-orcid":false,"given":"Xinhong","family":"Hei","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9841-9624","authenticated-orcid":false,"given":"Xiaogang","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7182-2787","authenticated-orcid":false,"given":"Zetian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7909-465X","authenticated-orcid":false,"given":"Haiyan","family":"Tu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2045-5752","authenticated-orcid":false,"given":"Yuping","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9355-2848","authenticated-orcid":false,"given":"Jing","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5405-1220","authenticated-orcid":false,"given":"Zhilong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4703-9530","authenticated-orcid":false,"given":"Xiujuan","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0357-8913","authenticated-orcid":false,"given":"Anlin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7306-2068","authenticated-orcid":false,"given":"Kun","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2026.115967_b1","article-title":"Low-light image enhancement via self-degradation-aware and semantic-perceptual guidance networks","author":"Sedeeq","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.115967_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.109244","article-title":"Image rain removal and illumination enhancement done in one go","volume":"252","author":"Wan","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.115967_b3","doi-asserted-by":"crossref","unstructured":"K. Shang, M. Shao, C. Wang, Y. Cheng, S. Wang, Multi-domain multi-scale diffusion model for low-light image enhancement, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 38, 2024, pp. 4722\u20134730.","DOI":"10.1609\/aaai.v38i5.28273"},{"key":"10.1016\/j.knosys.2026.115967_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128974","article-title":"Training-free prior guided diffusion model for zero-reference low-light image enhancement","volume":"617","author":"Shang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.knosys.2026.115967_b5","doi-asserted-by":"crossref","DOI":"10.1016\/j.displa.2025.103100","article-title":"WaveletMamba: Wavelet-based state space model for low light image enhancement","author":"Shang","year":"2025","journal-title":"Displays"},{"key":"10.1016\/j.knosys.2026.115967_b6","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130005","article-title":"Pool-mamba: Pooling state space model for low-light image enhancement","volume":"635","author":"Zhang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.knosys.2026.115967_b7","doi-asserted-by":"crossref","first-page":"75696","DOI":"10.1109\/ACCESS.2023.3297490","article-title":"A single-stage unsupervised denoising low-illumination enhancement network based on swin-transformer","volume":"11","author":"Zhang","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.knosys.2026.115967_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113055","article-title":"FFTFormer: a spatial-frequency noise aware CNN-transformer for low light image enhancement","volume":"314","author":"Pei","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.115967_b9","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5678","article-title":"HVI: a new color space for low-light image enhancement","author":"Yan","year":"2025"},{"key":"10.1016\/j.knosys.2026.115967_b10","series-title":"Fundamentals of Interactive Computer Graphics","author":"Foley","year":"1982"},{"issue":"1","key":"10.1016\/j.knosys.2026.115967_b11","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/BF01867379","article-title":"A method to create simplified versions of existing habitat suitability index (HSI) models","volume":"12","author":"Wakeley","year":"1988","journal-title":"Environ. Manag."},{"issue":"3","key":"10.1016\/j.knosys.2026.115967_b12","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1145\/965139.807361","article-title":"Color gamut transform pairs","volume":"12","author":"Smith","year":"1978","journal-title":"ACM Siggraph Comput. Graph."},{"key":"10.1016\/j.knosys.2026.115967_b13","series-title":"HVI-CIDNet+: Beyond extreme darkness for low-light image enhancement","author":"Yan","year":"2025"},{"issue":"18","key":"10.1016\/j.knosys.2026.115967_b14","doi-asserted-by":"crossref","first-page":"6904","DOI":"10.3390\/s22186904","article-title":"Low-light image enhancement using hybrid deep-learning and mixed-norm loss functions","volume":"22","author":"Oh","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.knosys.2026.115967_b15","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111958","article-title":"Division gets better: Learning brightness-aware and detail-sensitive representations for low-light image enhancement","volume":"299","author":"Wang","year":"2024","journal-title":"Knowl.-Based Syst."},{"issue":"7","key":"10.1016\/j.knosys.2026.115967_b16","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.3390\/rs17071165","article-title":"Meformer: Enhancing low-light images while preserving image authenticity in mining environments","volume":"17","author":"Sun","year":"2025","journal-title":"Remote. Sens."},{"key":"10.1016\/j.knosys.2026.115967_b17","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.cag.2023.12.014","article-title":"Frequency-aware network for low-light image enhancement","volume":"118","author":"Shang","year":"2024","journal-title":"Comput. Graph."},{"key":"10.1016\/j.knosys.2026.115967_b18","doi-asserted-by":"crossref","unstructured":"W. Wu, J. Weng, P. Zhang, X. Wang, W. Yang, J. Jiang, URetinex-Net: Retinex-based deep unfolding network for low-light image enhancement, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 5901\u20135910.","DOI":"10.1109\/CVPR52688.2022.00581"},{"key":"10.1016\/j.knosys.2026.115967_b19","doi-asserted-by":"crossref","unstructured":"R. Liu, L. Ma, J. Zhang, X. Fan, Z. Luo, Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 10561\u201310570.","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"10.1016\/j.knosys.2026.115967_b20","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1109\/TCI.2024.3420942","article-title":"RIRO: From Retinex-inspired reconstruction optimization model to deep low-light image enhancement unfolding network","volume":"10","author":"Zhao","year":"2024","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"11","key":"10.1016\/j.knosys.2026.115967_b21","doi-asserted-by":"crossref","first-page":"15758","DOI":"10.1109\/TNNLS.2023.3289626","article-title":"Low-light image enhancement by Retinex-based algorithm unrolling and adjustment","volume":"35","author":"Liu","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.knosys.2026.115967_b22","doi-asserted-by":"crossref","unstructured":"X. Yi, H. Xu, H. Zhang, L. Tang, J. Ma, Diff-Retinex: Rethinking low-light image enhancement with a generative diffusion model, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 12302\u201312311.","DOI":"10.1109\/ICCV51070.2023.01130"},{"key":"10.1016\/j.knosys.2026.115967_b23","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3291","article-title":"Learning to see in the dark","author":"Chen","year":"2018"},{"key":"10.1016\/j.knosys.2026.115967_b24","article-title":"Decouplenet: Domain-specific task decoupling network for low-light image enhancement","author":"Huang","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.knosys.2026.115967_b25","series-title":"Deep Retinex decomposition for low-light enhancement","author":"Wei","year":"2018"},{"key":"10.1016\/j.knosys.2026.115967_b26","doi-asserted-by":"crossref","first-page":"2072","DOI":"10.1109\/TIP.2021.3050850","article-title":"Sparse gradient regularized deep Retinex network for robust low-light image enhancement","volume":"30","author":"Yang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2026.115967_b27","doi-asserted-by":"crossref","DOI":"10.1016\/j.jvcir.2022.103712","article-title":"R2RNet: Low-light image enhancement via real-low to real-normal network","volume":"90","author":"Hai","year":"2023","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"12","key":"10.1016\/j.knosys.2026.115967_b28","doi-asserted-by":"crossref","first-page":"5372","DOI":"10.1109\/TIP.2013.2284059","article-title":"Contrast enhancement based on layered difference representation of 2D histograms","volume":"22","author":"Lee","year":"2013","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.knosys.2026.115967_b29","doi-asserted-by":"crossref","first-page":"3538","DOI":"10.1109\/TIP.2013.2261309","article-title":"Naturalness preserved enhancement algorithm for non-uniform illumination images","volume":"22","author":"Wang","year":"2013","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"10.1016\/j.knosys.2026.115967_b30","doi-asserted-by":"crossref","first-page":"3345","DOI":"10.1109\/TIP.2015.2442920","article-title":"Perceptual quality assessment for multi-exposure image fusion","volume":"24","author":"Ma","year":"2015","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.knosys.2026.115967_b31","doi-asserted-by":"crossref","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","article-title":"LIME: Low-light image enhancement via illumination map estimation","volume":"26","author":"Guo","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.knosys.2026.115967_b32","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"2782","article-title":"A weighted variational model for simultaneous reflectance and illumination estimation","author":"Fu","year":"2016"},{"key":"10.1016\/j.knosys.2026.115967_b33","doi-asserted-by":"crossref","unstructured":"Y. Zhang, J. Zhang, X. Guo, Kindling the darkness: A practical low-light image enhancer, in: Proceedings of the 27th ACM International Conference on Multimedia, 2019, pp. 1632\u20131640.","DOI":"10.1145\/3343031.3350926"},{"issue":"4","key":"10.1016\/j.knosys.2026.115967_b34","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1007\/s11263-020-01407-x","article-title":"Beyond brightening low-light images","volume":"129","author":"Zhang","year":"2021","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.knosys.2026.115967_b35","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"17714","article-title":"Snr-aware low-light image enhancement","author":"Xu","year":"2022"},{"key":"10.1016\/j.knosys.2026.115967_b36","series-title":"European Conference on Computer Vision","first-page":"163","article-title":"Deep Fourier-based exposure correction network with spatial-frequency interaction","author":"Huang","year":"2022"},{"key":"10.1016\/j.knosys.2026.115967_b37","series-title":"Embedding Fourier for ultra-high-definition low-light image enhancement","author":"Li","year":"2023"},{"key":"10.1016\/j.knosys.2026.115967_b38","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1662","article-title":"Learning semantic-aware knowledge guidance for low-light image enhancement","author":"Wu","year":"2023"},{"key":"10.1016\/j.knosys.2026.115967_b39","doi-asserted-by":"crossref","unstructured":"Y. Cai, H. Bian, J. Lin, H. Wang, R. Timofte, Y. Zhang, Retinexformer: One-stage Retinex-based transformer for low-light image enhancement, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2023, pp. 12504\u201312513.","DOI":"10.1109\/ICCV51070.2023.01149"},{"key":"10.1016\/j.knosys.2026.115967_b40","doi-asserted-by":"crossref","unstructured":"Y. Yin, D. Xu, C. Tan, P. Liu, Y. Zhao, Y. Wei, Cle Diffusion: Controllable light enhancement diffusion model, in: Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 8145\u20138156.","DOI":"10.1145\/3581783.3612145"},{"key":"10.1016\/j.knosys.2026.115967_b41","doi-asserted-by":"crossref","unstructured":"C. Wang, H. Wu, Z. Jin, Fourllie: Boosting low-light image enhancement by Fourier frequency information, in: Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 7459\u20137469.","DOI":"10.1145\/3581783.3611909"},{"key":"10.1016\/j.knosys.2026.115967_b42","series-title":"Pyramid diffusion models for low-light image enhancement","author":"Zhou","year":"2023"},{"key":"10.1016\/j.knosys.2026.115967_b43","series-title":"International Conference on Neural Information Processing","first-page":"427","article-title":"Retinexmamba: Retinex-based mamba for low-light image enhancement","author":"Bai","year":"2024"},{"key":"10.1016\/j.knosys.2026.115967_b44","doi-asserted-by":"crossref","unstructured":"D. Zheng, X.-M. Wu, S. Yang, J. Zhang, J.-F. Hu, W.-S. Zheng, Selective hourglass mapping for universal image restoration based on diffusion model, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 25445\u201325455.","DOI":"10.1109\/CVPR52733.2024.02404"},{"key":"10.1016\/j.knosys.2026.115967_b45","doi-asserted-by":"crossref","unstructured":"T. Zhang, P. Liu, M. Zhao, H. Lv, DMFourLLIE: dual-stage and multi-branch Fourier network for low-light image enhancement, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 7434\u20137443.","DOI":"10.1145\/3664647.3681083"},{"key":"10.1016\/j.knosys.2026.115967_b46","doi-asserted-by":"crossref","unstructured":"W. Zou, H. Gao, W. Yang, T. Liu, Wave-Mamba: Wavelet state space model for ultra-high-definition low-light image enhancement, in: Proceedings of the 32nd ACM International Conference on Multimedia, 2024, pp. 1534\u20131543.","DOI":"10.1145\/3664647.3681580"},{"key":"10.1016\/j.knosys.2026.115967_b47","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127263","article-title":"CWFAS-Net: Low-light image enhancement using curvelet wavelet attention and Fourier transform","volume":"278","author":"Zhou","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.knosys.2026.115967_b48","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128308","article-title":"XGFu: Enhancing low-light visualization by feature and graph fusion of multiple artificial exposure images","author":"Qiao","year":"2025","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.knosys.2026.115967_b49","article-title":"Differentiable histogram-guided unsupervised Retinex enhancement for paired low-light images","author":"Yin","year":"2025","journal-title":"Expert Syst. Appl."},{"issue":"19","key":"10.1016\/j.knosys.2026.115967_b50","doi-asserted-by":"crossref","first-page":"10376","DOI":"10.3390\/app151910376","article-title":"HVI-based spatial\u2013frequency-domain multi-scale fusion for low-light image enhancement","volume":"15","author":"Zhang","year":"2025","journal-title":"Appl. Sci."}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705126006933?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0950705126006933?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T13:47:33Z","timestamp":1778248053000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0950705126006933"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":50,"alternative-id":["S0950705126006933"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2026.115967","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"BIP-CENet: A Bilateral Prior\u2013Collaborative Enhancement Network with dual-domain priors for low-light image enhancement","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2026.115967","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115967"}}