{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T16:28:27Z","timestamp":1780331307025,"version":"3.54.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"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":"publisher","award":["61303093, 61402278"],"award-info":[{"award-number":["61303093, 61402278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["19ZR141910"],"award-info":[{"award-number":["19ZR141910"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s00138-022-01365-z","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T07:02:42Z","timestamp":1672124562000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["LDNet: low-light image enhancement with joint lighting and denoising"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3827-1522","authenticated-orcid":false,"given":"Yuhang","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianyanshi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaxin","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youdong","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"issue":"2","key":"1365_CR1","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1109\/TCE.2007.381734","volume":"53","author":"M Abdullah-Al-Wadud","year":"2007","unstructured":"Abdullah-Al-Wadud, M., Kabir, M.H., Dewan, M.A.A., Chae, O.: A dynamic histogram equalization for image contrast enhancement. IEEE Trans. Consum. Electr. 53(2), 593\u2013600 (2007)","journal-title":"IEEE Trans. Consum. Electr."},{"key":"1365_CR2","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.image.2020.115892","volume":"86","author":"X Fu","year":"2020","unstructured":"Fu, X., Cao, X.: Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Process. Image Commun. 86, 115\u2013892 (2020)","journal-title":"Signal Process. Image Commun."},{"issue":"2","key":"1365_CR3","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1109\/TCE.2017.014847","volume":"63","author":"S Park","year":"2017","unstructured":"Park, S., Yu, S., Moon, B.: Low-light image enhancement using variational optimization-based retinex model. IEEE Trans. Consum. Electron. 63(2), 178\u2013184 (2017)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"1365_CR4","doi-asserted-by":"publisher","first-page":"4272","DOI":"10.1109\/TMM.2020.3039361","volume":"23","author":"S Lim","year":"2021","unstructured":"Lim, S., Kim, W.: DSLR: Deep stacked Laplacian restorer for low-light image enhancement. IEEE Trans. Multimed. 23, 4272\u20134284 (2021)","journal-title":"IEEE Trans. Multimed."},{"issue":"2","key":"1365_CR5","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2017","unstructured":"Guo, X., Yu, L., Ling, H.: LIME: low-light image enhancement via illumination map estimation. IEEE Trans. Image Process. 26(2), 982\u2013993 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR6","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore, K.G., Akintayo, A., Sarkar, S.: LLnet: a deep autoencoder approach to natural low-light image enhancement. Pattern Recogn. 61, 650\u2013662 (2017)","journal-title":"Pattern Recogn."},{"key":"1365_CR7","unstructured":"Lv F., Li Y., Wu, J., Lim C.: MBLLEN: low-light image\/video enhancement using CNNs. Br. Mach. Vis. Confe. 22 (2018)"},{"key":"1365_CR8","doi-asserted-by":"crossref","unstructured":"Chen C., Chen Q., Xu J., Koltun, V.: Learning to see in the dark, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 3291\u20133300 (2018)","DOI":"10.1109\/CVPR.2018.00347"},{"key":"1365_CR9","doi-asserted-by":"publisher","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","volume":"30","author":"Y Jiang","year":"2021","unstructured":"Jiang, Y.: EnlightenGAN: deep light enhancement without paired supervision. IEEE Trans. Image Process. 30, 2340\u20132349 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR10","doi-asserted-by":"crossref","unstructured":"Wang, Y., Cao, Y., Zha, Z.-J., Zhang, J., Xiong Z., Zhang, W., Wu, F.: Progressive retinex: mutually reinforced illumination-noise perception network for low-light image enhancement, in Proceedings of the 27th ACM International Conference on Multimedia, pp. 2015\u20132023 (2019)","DOI":"10.1145\/3343031.3350983"},{"key":"1365_CR11","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1109\/TIP.2019.2938310","volume":"29","author":"K-F Yang","year":"2020","unstructured":"Yang, K.-F., Zhang, X.-S., Li, Y.-J.: A biological vision inspired framework for image enhancement in poor visibility conditions. IEEE Trans. Image Process. 29, 1493\u20131506 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR12","unstructured":"Wei C., Wang W., Yang, W., Liu, J.: Deep retinex decomposition for low-light enhancement. Br. Mach. Vis. Conf. 155 (2018)"},{"key":"1365_CR13","doi-asserted-by":"crossref","unstructured":"Fan, M., Wang, W., Yang, W., Liu, J.: Integrating semantic segmentation and retinex model for low-light image enhancement, in Proceedings of the 28th ACM International Conference on Multimedia, pp. 2317\u20132325 (2020)","DOI":"10.1145\/3394171.3413757"},{"key":"1365_CR14","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s10044-020-00908-2","volume":"24","author":"S Hao","year":"2021","unstructured":"Hao, S., Han, X., Zhang, Y.: Low-light enhancement based on an improved simplified Retinex model via fast illumination map refinement. Pattern. Anal. Applic. 24, 321\u2013332 (2021)","journal-title":"Pattern. Anal. Applic."},{"key":"1365_CR15","unstructured":"Xiong, W., Liu, D., Shen, X., Fang, C., Luo, J.: Unsupervised real-world low-light image enhancement with decoupled networks (2020)"},{"key":"1365_CR16","doi-asserted-by":"crossref","unstructured":"Xu, K., Yang, X., Yin, B., Lau, R.W.H.: Learning to restore low light images via decomposition-and-enhancement, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 2281\u20132290 (2020)","DOI":"10.1109\/CVPR42600.2020.00235"},{"issue":"2","key":"1365_CR17","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1007\/s11263-020-01407-x","volume":"129","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Zhang, J., Guo, X.: Beyond brightening low-light images. Int. J. Comput. Vis. 129(2), 1013\u20131037 (2021)","journal-title":"Int. J. Comput. Vis."},{"key":"1365_CR18","doi-asserted-by":"crossref","unstructured":"Zhao, H., Shi, J., Qi, X., Wang, X., Jia, J.: Pyramid scene parsing network, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 6230\u20136239 (2017)","DOI":"10.1109\/CVPR.2017.660"},{"key":"1365_CR19","doi-asserted-by":"crossref","unstructured":"Cheng S., Wang Y., Huang H.: NBNet: noise basis learning for image denoising with subspace projection, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 4894\u20134904 (2021)","DOI":"10.1109\/CVPR46437.2021.00486"},{"key":"1365_CR20","doi-asserted-by":"crossref","unstructured":"Yadav, G., Maheshwari, S., Agarwal, A.: Contrast limited adaptive histogram equalization based enhancement for real time video system, in International Conference on Advances in Computing, pp. 2392\u20132397 (2014)","DOI":"10.1109\/ICACCI.2014.6968381"},{"issue":"1","key":"1365_CR21","first-page":"80","volume":"21","author":"C Lee","year":"2011","unstructured":"Lee, C., Lee, C., Lee, Y.Y.: Power-constrained contrast enhancement for emissive displays based on histogram equalization. IEEE Trans. Image Process. 21(1), 80\u201393 (2011)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR22","first-page":"769","volume":"8","author":"V Jain","year":"2008","unstructured":"Jain, V., Seung, S.: Natural image denoising with convolutional networks. Adv. Neural Inf. Process. Syst. 8, 769\u2013776 (2008)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"1365_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, J., Guo, X.: Kindling the darkness: a practical low-light image enhancer, in Proceedings of the ACM International Conference on Multimedia, pp. 1632\u20131640 (2019)","DOI":"10.1145\/3343031.3350926"},{"key":"1365_CR24","doi-asserted-by":"publisher","first-page":"3153","DOI":"10.1109\/TMM.2020.3021243","volume":"23","author":"J Li","year":"2021","unstructured":"Li, J., Fang, F., Li, F., Zhang, G.: Luminance-aware pyramid network for low-light image enhancement. IEEE Trans. Multimed. 23, 3153\u20133165 (2021)","journal-title":"IEEE Trans. Multimed."},{"key":"1365_CR25","doi-asserted-by":"publisher","first-page":"7984","DOI":"10.1109\/TIP.2020.3008396","volume":"29","author":"L Wang","year":"2020","unstructured":"Wang, L., Liu, Z., Siu, W., Lun, D.P.K.: Lightening network for low-light image enhancement. IEEE Trans. Image Process. 29, 7984\u20137996 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR26","doi-asserted-by":"crossref","unstructured":"Guo, C., Li C., Guo J., Loy C.C., Hou J., Cong, R.: Zero-reference deep curve estimation for low-light image enhancement, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 1780\u20131789 (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"1365_CR27","doi-asserted-by":"crossref","unstructured":"Yang, W., Wang, S., Fang, Y., Wang, Y., Liu, J.: From delity to perceptual quality: a semi-supervised approach for low-light image enhancement, in IEEE Conference on Computer Vision and Pattern Recognition pp. 3060\u20133069 (2020)","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"1365_CR28","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1007\/s11263-021-01466-8","volume":"129","author":"F Lv","year":"2021","unstructured":"Lv, F., Li, Y., Lu, F.: Attention guided low-light image enhancement with a large scale low-light simulation dataset. Int. J. Comput. Vis. 129, 2175\u20132193 (2021)","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"1365_CR29","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1109\/TIP.2018.2794218","volume":"27","author":"J Cai","year":"2018","unstructured":"Cai, J., Gu, S., Zhang, L.: Learning a deep single image contrast enhancer from multi-exposure images. IEEE Trans. Image Process. 27(4), 2049\u20132062 (2018)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"1365_CR30","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","volume":"42","author":"JS Samuel","year":"2020","unstructured":"Samuel, J.S.: Squeeze-and-excitation networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(8), 2011\u20132023 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"1365_CR31","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR32","first-page":"694","volume":"9906","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Li, F.: Perceptual losses for real-time style transfer and super-resolution. Eur. Conf. Comput. Vis. 9906, 694\u2013711 (2016)","journal-title":"Eur. Conf. Comput. Vis."},{"key":"1365_CR33","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.cviu.2018.10.010","volume":"178","author":"YP Loh","year":"2019","unstructured":"Loh, Y.P., Chan, C.S.: Getting to know low-light images with the exclusively dark dataset. IEEE Conf. Comput. Vis. Image Understand. 178, 30\u201342 (2019)","journal-title":"IEEE Conf. Comput. Vis. Image Understand."},{"key":"1365_CR34","doi-asserted-by":"crossref","unstructured":"Afifi, M., Derpanis, K.G.: Learning multi-scale photo exposure correction, in IEEE Conference on Computer Vision and Pattern Recognition pp. 9153\u20139163 (2021)","DOI":"10.1109\/CVPR46437.2021.00904"},{"key":"1365_CR35","doi-asserted-by":"crossref","unstructured":"Lee, C., Lee, C., Kim, C.: Contrast enhancement based on layered difference representation, in IEEE International Conference on Image Processing, pp. 965\u2013968 (2012)","DOI":"10.1109\/ICIP.2012.6467022"},{"issue":"2","key":"1365_CR36","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/TIP.2005.859378","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"Sheikh, H.R., Bovik, A.C.: Image information and visual quality. IEEE Trans. Image Process. 15(2), 430\u2013444 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"1365_CR37","doi-asserted-by":"publisher","first-page":"2290","DOI":"10.1109\/TIP.2006.875204","volume":"15","author":"Z Chen","year":"2006","unstructured":"Chen, Z., Abidi, B.R., Page, D.L., Abidi, M.A.: Graylevel grouping (GLG): an automatic method for optimized image contrast enhancement-part i: the basic method. IEEE Trans. Image Process. 15(8), 2290\u20132302 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"1365_CR38","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"Zhang, K., Zuo, W., Chen, Y., Meng, D., Zhang, L.: Beyond a gaussian denoiser: Residual learning of deep CNN for image denoising. IEEE Trans. Image Process. 26(7), 3142\u20133155 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"1365_CR39","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric, in IEEE Conference on Computer Vision and Pattern Recognition pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"1365_CR40","doi-asserted-by":"crossref","unstructured":"Fan, C. M., Liu T. J., Liu, K.H.: Half wavelet attention on M-Net+ for low-light image enhancement, in IEEE International Conference on Image Processing, pp. 3878\u20133882 (2022)","DOI":"10.1109\/ICIP46576.2022.9897503"},{"key":"1365_CR41","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wan, R., Yang, W., Li, H., Chau, L., Kot, Alex C.: Low-light image enhancement with normalizing flow, in AAAI Conference on Artificial Intelligence 36(3), 2604\u20132612 (2022)","DOI":"10.1609\/aaai.v36i3.20162"},{"key":"1365_CR42","doi-asserted-by":"publisher","first-page":"4093","DOI":"10.1109\/TMM.2020.3037526","volume":"23","author":"K Lu","year":"2021","unstructured":"Lu, K., Zhang, L.: Tbefn: a two-branch exposure-fusion network for low-light image enhancement. IEEE Trans. Multimed. 23, 4093\u20134105 (2021)","journal-title":"IEEE Trans. Multimed."},{"key":"1365_CR43","doi-asserted-by":"crossref","unstructured":"Zamir, S., Arora, A., Khan, S., Hayat, M., Shao, L.: Learning enriched features for real image restoration and enhancement, in European Conference on Computer Vision, pp. 492\u2013511 (2020)","DOI":"10.1007\/978-3-030-58595-2_30"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01365-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-022-01365-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01365-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T16:12:18Z","timestamp":1673971938000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-022-01365-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["1365"],"URL":"https:\/\/doi.org\/10.1007\/s00138-022-01365-z","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,27]]},"assertion":[{"value":"2 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 December 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"13"}}