{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T17:30:38Z","timestamp":1767893438409,"version":"3.49.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T00:00:00Z","timestamp":1543017600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T00:00:00Z","timestamp":1543017600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"crossref","award":["61772171"],"award-info":[{"award-number":["61772171"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s00521-018-3893-3","type":"journal-article","created":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T16:15:36Z","timestamp":1543076136000},"page":"6455-6465","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Single-image low-light enhancement via generating and fusing multiple sources"],"prefix":"10.1007","volume":"32","author":[{"given":"Zhiyuan","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhuang","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jilong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shijie","family":"Hao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,24]]},"reference":[{"issue":"11","key":"3893_CR1","doi-asserted-by":"publisher","first-page":"4649","DOI":"10.1109\/TIP.2012.2207397","volume":"21","author":"M Wang","year":"2012","unstructured":"Wang M, Li H, Tao D, Lu K, Wu X (2012) Multimodal graph-based reranking for web image search. IEEE Trans Image Process 21(11):4649\u20134661","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"3893_CR2","doi-asserted-by":"publisher","first-page":"1028","DOI":"10.1109\/TIP.2014.2298978","volume":"23","author":"F Sun","year":"2014","unstructured":"Sun F, Tang J, Li H, Qi G, Huang T (2014) Multi-label image categorization with sparse factor representation. IEEE Trans Image Process 23(3):1028\u20131037","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"3893_CR3","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1109\/TNNLS.2017.2673241","volume":"29","author":"S Zhang","year":"2018","unstructured":"Zhang S, Li X, Zong M, Zhu X, Wang R (2018) Efficient kNN classification with different numbers of nearest neighbors. IEEE Trans Neural Netw Learn Syst 29(5):1774\u20131785","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"3893_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2858782","author":"X Zhu","year":"2018","unstructured":"Zhu X, Zhang S, Li Y, Zhang J, Yang L, Fang Y (2018) Low-rank Sparse Subspace for spectral clustering. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/TKDE.2018.2858782","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"3893_CR5","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1109\/TIP.2016.2514499","volume":"25","author":"R Hong","year":"2016","unstructured":"Hong R, Zhang L, Tao D (2016) Unified photo enhancement by discovering aesthetic communities from flickr. IEEE Trans Image Process 25(3):1124\u20131135","journal-title":"IEEE Trans Image Process"},{"issue":"3\u20132","key":"3893_CR6","doi-asserted-by":"publisher","first-page":"858","DOI":"10.1109\/TMM.2012.2187181","volume":"14","author":"M Wang","year":"2012","unstructured":"Wang M, Hong R, Yuan X, Yan S, Chua T (2012) Movie2Comics: towards a lively video content presentation. IEEE Trans Multimed 14(3\u20132):858\u2013870","journal-title":"IEEE Trans Multimed"},{"key":"3893_CR7","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.patrec.2017.08.026","volume":"109","author":"Y Guo","year":"2018","unstructured":"Guo Y, Chen T (2018) Semantic segmentation of RGBD images based on deep depth regression. Pattern Recogn Lett 109:55\u201364","journal-title":"Pattern Recogn Lett"},{"issue":"1","key":"3893_CR8","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1109\/TMM.2013.2283468","volume":"16","author":"W Yin","year":"2014","unstructured":"Yin W, Mei T, Chen C, Li S (2014) Socialized mobile photography: learning to photograph with social context via mobile devices. IEEE Trans Multimed 16(1):184\u2013200","journal-title":"IEEE Trans Multimed"},{"issue":"5","key":"3893_CR9","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1109\/TMM.2013.2241042","volume":"15","author":"B Ni","year":"2013","unstructured":"Ni B, Xu M, Wang M, Yan S, Tian Q (2013) Learning to photograph: a compositional perspective. IEEE Trans Multimed 15(5):1138\u20131151","journal-title":"IEEE Trans Multimed"},{"key":"3893_CR10","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1016\/j.sigpro.2015.02.017","volume":"120","author":"S Hao","year":"2016","unstructured":"Hao S, Pan D, Guo Y, Hong R, Wang M (2016) Image detail enhancement with spatially guided filters. Sig Process 120:789\u2013796","journal-title":"Sig Process"},{"issue":"7","key":"3893_CR11","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1111\/cgf.12500","volume":"33","author":"R Nguyen","year":"2014","unstructured":"Nguyen R, Kim S, Brown M (2014) Illuminant aware gamut-based color transfer. Comput Graph Forum 33(7):319\u2013328","journal-title":"Comput Graph Forum"},{"issue":"2","key":"3893_CR12","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2017","unstructured":"Guo X, Li Y, Ling H (2017) LIME: low-light image enhancement via illumination map estimation. IEEE Trans Image Process 26(2):982\u2013993","journal-title":"IEEE Trans Image Process"},{"key":"3893_CR13","doi-asserted-by":"crossref","unstructured":"Li Y, Tan R, Brown M (2015) Nighttime haze removal with glow and multiple light colors. In: Proceedings of international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2015.34"},{"issue":"2","key":"3893_CR14","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPAMI.2016.2551244","volume":"39","author":"J Pan","year":"2017","unstructured":"Pan J, Hu Z, Su Z, Yang M (2017) L0-regularized intensity and gradient prior for deblurring text images and beyond. IEEE Trans Pattern Anal Mach Intell 39(2):342\u2013355","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"3893_CR15","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1023\/B:VLSI.0000028532.53893.82","volume":"38","author":"AM Reza","year":"2004","unstructured":"Reza AM (2004) Realization of the contrast limited adaptive histogram equalization (CLAHE) for real-time image enhancement. Journal VLSI Signal Process Syst Signal Image Video Technol 38(1):35\u201344","journal-title":"Journal VLSI Signal Process Syst Signal Image Video Technol"},{"issue":"12","key":"3893_CR16","doi-asserted-by":"publisher","first-page":"5372","DOI":"10.1109\/TIP.2013.2284059","volume":"22","author":"C Lee","year":"2013","unstructured":"Lee C, Lee C, Kim C (2013) Contrast enhancement based on layered difference representation of 2D histograms. IEEE Trans Image Process 22(12):5372\u20135384","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"3893_CR17","doi-asserted-by":"publisher","first-page":"1326","DOI":"10.1109\/TCE.2005.1561863","volume":"51","author":"C Wang","year":"2005","unstructured":"Wang C, Ye Z (2005) Brightness preserving histogram equalization with maximum entropy: a variational perspective. IEEE Trans Consum Electron 51(4):1326\u20131334","journal-title":"IEEE Trans Consum Electron"},{"issue":"4","key":"3893_CR18","first-page":"162","volume":"49","author":"S Chen","year":"2003","unstructured":"Chen S, Ramli A (2003) Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans Image Process 49(4):162\u2013174","journal-title":"IEEE Trans Image Process"},{"key":"3893_CR19","doi-asserted-by":"crossref","unstructured":"Li Y, Guo F, Tan R, Brown M (2014) A contrast enhancement framework with JPEG artifacts suppression. In: Proceedings of European Conference on Computer Vision (ECCV)","DOI":"10.1007\/978-3-319-10605-2_12"},{"issue":"7","key":"3893_CR20","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"J Jobson","year":"1997","unstructured":"Jobson J, Rahman U, Woodell A (1997) A multi-scale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans Image Process 6(7):965\u2013976","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"3893_CR21","doi-asserted-by":"publisher","first-page":"3981","DOI":"10.1109\/TIP.2017.2703078","volume":"26","author":"H Yue","year":"2017","unstructured":"Yue H, Yang J, Sun X, Wu F, Hou C (2017) Contrast enhancement based on intrinsic image decomposition. IEEE Trans Image Process 26(8):3981\u20133994","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"3893_CR22","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2017","unstructured":"Guo X, Li Y, Ling H (2017) LIME: low-light image enhancement via illumination map estimation. IEEE Trans Image Process 26(2):982\u2013993","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"3893_CR23","doi-asserted-by":"publisher","first-page":"2519","DOI":"10.1109\/TIP.2017.2671921","volume":"26","author":"K Ma","year":"2017","unstructured":"Ma K, Li H, Yong H, Wang Z, Meng D, Zhang L (2017) Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Trans Image Process 26(5):2519\u20132532","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"3893_CR24","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TIP.2012.2221730","volume":"22","author":"B Bertalmio","year":"2013","unstructured":"Bertalmio B, Levine S (2013) Variational approach for the fusion of exposure bracketed pairs. IEEE Trans Image Process 22(2):712\u2013723","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"3893_CR25","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1109\/TMM.2017.2743988","volume":"20","author":"F Kou","year":"2018","unstructured":"Kou F, Wei Z, Chen W, Wu X, Wen C, Li Z (2018) Intelligent detail enhancement for exposure fusion. IEEE Trans Multimedia 20(2):484\u2013495","journal-title":"IEEE Trans Multimedia"},{"key":"3893_CR26","doi-asserted-by":"crossref","unstructured":"Fu X, Zeng D, Huang Y, Zhang X, Ding X (2016) A weighted variational model for simultaneous reflectance and illumination estimation. In: Proceedings of computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2016.304"},{"key":"3893_CR27","doi-asserted-by":"crossref","unstructured":"Cai B, Xu X, Guo K, Jia K, Hu B, Tao D (2017) A joint intrinsic\u2013extrinsic prior model for retinex. In: Proceedings of international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2017.431"},{"key":"3893_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5448-5","author":"S Hao","year":"2018","unstructured":"Hao S, Feng Z, Guo Y (2018) Low-light image enhancement with a refined illumination map. Multim Tools Appl. https:\/\/doi.org\/10.1007\/s11042-017-5448-5","journal-title":"Multim Tools Appl"},{"key":"3893_CR29","doi-asserted-by":"crossref","unstructured":"Malm H, Oskarsson M, Warrant E, Clarberg P, Hasselgren J, Lejdfors C (2007) Adaptive enhancement and noise reduction in very low light-level video. In: Proceedings of international conference on computer vision (ICCV)","DOI":"10.1109\/ICCV.2007.4409007"},{"key":"3893_CR30","doi-asserted-by":"crossref","unstructured":"Dong X, Wang G, Pang Y (2011) Fast efficient algorithm for enhancement of low lighting video. In: Proceedings of international conference on multimedia & expo (ICME)","DOI":"10.1145\/1836845.1836920"},{"key":"3893_CR31","doi-asserted-by":"crossref","unstructured":"Song J, Zhang L, Shen P, Peng X, Zhu G (2016) Single low-light image enhancement using luminance map. In: Proceedings of Chinese conference of pattern recognition (CCPR)","DOI":"10.1007\/978-981-10-3005-5_9"},{"key":"3893_CR32","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.sigpro.2016.05.031","volume":"129","author":"X Fu","year":"2016","unstructured":"Fu X, Zeng D, Huang Y, Liao Y, Ding X, Paisley J (2016) A fusion-based enhancing method for weakly illuminated images. Signal Process 129:82\u201396","journal-title":"Signal Process"},{"key":"3893_CR33","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6257-1","author":"S Hao","year":"2018","unstructured":"Hao S, Guo Y, Wei Z (2018) Lightness-aware contrast enhancement for images with different illumination conditions. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-018-6257-1","journal-title":"Multimed Tools Appl"},{"key":"3893_CR34","unstructured":"Ying Z, Li G, Gao W (2017) A bio-inspired multi-exposure fusion framework for low-light image enhancement. ArXiv.abs\/1711.00591"},{"key":"3893_CR35","doi-asserted-by":"crossref","unstructured":"Ying Z, Li G, Ren Y, Wang R, Wang W (2017) A new low-light image enhancement algorithm using camera response model. In: Proceedings of international conference on computer vision (ICCV) workshop","DOI":"10.1109\/ICCVW.2017.356"},{"key":"3893_CR36","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"K Lore","year":"2017","unstructured":"Lore K, Akintayo A, Sarkar S (2017) LLNet: a deep autoencoder approach to natural low-light image enhancement. Pattern Recognit 61:650\u2013662","journal-title":"Pattern Recognit"},{"key":"3893_CR37","doi-asserted-by":"crossref","unstructured":"Chen C, Chen Q, Xu J, Koltun V (2018) Learning to see in the dark. In: Proceedings of computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2018.00347"},{"issue":"8","key":"3893_CR38","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1109\/83.855434","volume":"9","author":"M Steve","year":"2000","unstructured":"Steve M (2000) Comparametric equations with practical applications in quantigraphic image processing. IEEE Trans Image Process 9(8):1389\u20131406","journal-title":"IEEE Trans Image Process"},{"key":"3893_CR39","unstructured":"He K, Sun J (2015) Fast guided filter. ArXiv, abs\/1505.00996"},{"issue":"3","key":"3893_CR40","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1109\/TMM.2016.2518868","volume":"18","author":"K Gu","year":"2016","unstructured":"Gu K, Wang S, Zhai G, Ma S, Yang X, Lin W, Zhang W, Gao W (2016) Blind quality assessment of tone-mapped images via analysis of information, naturalness, and structure. IEEE Trans Multimed 18(3):432\u2013443","journal-title":"IEEE Trans Multimed"},{"key":"3893_CR41","doi-asserted-by":"crossref","unstructured":"Kong S, Shen X, Lin Z, Mech R, Fowlkes C (2016) Photo aesthetics ranking network with attributes and content adaptation. In: Proceedings of European conference on computer vision (ECCV)","DOI":"10.1007\/978-3-319-46448-0_40"},{"key":"3893_CR42","doi-asserted-by":"crossref","unstructured":"Zhang L, Wang M, Nie L, Hong R, Xia Y, Zimmermann R (2015) Biologically inspired media quality modeling, In: Proceedings of ACM multimedia (ACM MM)","DOI":"10.1145\/2733373.2806255"},{"key":"3893_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.06.029","author":"W Zheng","year":"2018","unstructured":"Zheng W, Zhu X, Wen G, Zhu Y, Yu H, Gan J (2018) Unsupervised feature selection by self-paced learning regularization. Pattern Recogn Lett. https:\/\/doi.org\/10.1016\/j.patrec.2018.06.029","journal-title":"Pattern Recogn Lett"},{"issue":"3","key":"3893_CR44","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TKDE.2017.2763618","volume":"30","author":"X Zhu","year":"2018","unstructured":"Zhu X, Zhang S, Hu R, Zhu Y, Song J (2018) Local and global structure preservation for robust unsupervised spectral feature selection. IEEE Trans Knowl Data Eng 30(3):517\u2013529","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"3893_CR45","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5272-y","author":"W Zheng","year":"2018","unstructured":"Zheng W, Zhu X, Zhu Y, Hu R, Lei C (2018) Dynamic graph learning for spectral feature selection. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-017-5272-y","journal-title":"Multimed Tools Appl"},{"key":"3893_CR46","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5381-7","author":"C Lei","year":"2018","unstructured":"Lei C, Zhu X (2018) Unsupervised feature selection via local structure learning and sparse learning. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-017-5381-7","journal-title":"Multimed Tools Appl"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3893-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3893-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3893-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T13:38:07Z","timestamp":1694093887000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3893-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,24]]},"references-count":46,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["3893"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3893-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,24]]},"assertion":[{"value":"6 June 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}