{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:52:14Z","timestamp":1740160334601,"version":"3.37.3"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T00:00:00Z","timestamp":1702684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T00:00:00Z","timestamp":1702684800000},"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":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s13042-023-02036-9","type":"journal-article","created":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T13:01:27Z","timestamp":1702731687000},"page":"2383-2398","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PEN-DS: progressive enhancement network based on detail supplementation for low-light image enhancement"],"prefix":"10.1007","volume":"15","author":[{"given":"Yong","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenzhi","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2771-8461","authenticated-orcid":false,"given":"Shuying","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiguo","family":"Wan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,16]]},"reference":[{"issue":"8","key":"2036_CR1","doi-asserted-by":"publisher","first-page":"5208","DOI":"10.1109\/TII.2020.3026036","volume":"17","author":"W Wang","year":"2021","unstructured":"Wang W, Peng Y, Cao G, Guo X, Kwok N (2021) Low-illumination image enhancement for night-time UAV pedestrian detection. IEEE Trans Industr Inf 17(8):5208\u20135217","journal-title":"IEEE Trans Industr Inf"},{"key":"2036_CR2","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore KG, Akintayo A, Sarkar S (2017) LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recogn 61:650\u2013662","journal-title":"Pattern Recogn"},{"key":"2036_CR3","unstructured":"Wei C, Wang W, Yang W, Liu J (2018) Deep retinex decomposition for low-light enhancement. In: British Machine Vision Conference"},{"key":"2036_CR4","doi-asserted-by":"publisher","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","volume":"30","author":"Y Jiang","year":"2021","unstructured":"Jiang Y, Gong X, Liu D (2021) EnlightenGAN: deep light enhancement without paired supervision. IEEE Trans Image Process 30:2340\u20132349","journal-title":"IEEE Trans Image Process"},{"key":"2036_CR5","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 DPK (2020) Lightening network for low-light image enhancement. IEEE Trans Image Process 29:7984\u20137996","journal-title":"IEEE Trans Image Process"},{"key":"2036_CR6","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neucom.2021.03.107","volume":"448","author":"M Liu","year":"2021","unstructured":"Liu M, Tang L, Zhong S, Luo H, Peng J (2021) Learning noise-decoupled affine models for extreme low-light image enhancement. Neurocomputing 448:21\u201329","journal-title":"Neurocomputing"},{"key":"2036_CR7","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.neucom.2021.05.025","volume":"454","author":"Z Jiang","year":"2021","unstructured":"Jiang Z, Li H, Liu L, Men A, Wang H (2021) A switched view of Retinex: deep self-regularized low-light image enhancement. Neurocomputing 454:361\u2013372","journal-title":"Neurocomputing"},{"key":"2036_CR8","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.neucom.2021.04.076","volume":"452","author":"SW Zamir","year":"2021","unstructured":"Zamir SW, Arora A, Khan S, Khan FS, Shao L (2021) Learning digital camera pipeline for extreme low-light imaging. Neurocomputing 452:37\u201347","journal-title":"Neurocomputing"},{"key":"2036_CR9","doi-asserted-by":"publisher","first-page":"3461","DOI":"10.1109\/TIP.2021.3062184","volume":"30","author":"W Yang","year":"2021","unstructured":"Yang W, Wang S, Fang Y, Wang Y, Liu J (2021) Band representation-based semi-supervised low-light image enhancement: bridging the gap between signal fidelity and perceptual quality. IEEE Trans Image Process 30:3461\u20133473","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"2036_CR10","doi-asserted-by":"publisher","first-page":"1565","DOI":"10.1109\/TIM.2010.2089110","volume":"60","author":"G Thomas","year":"2011","unstructured":"Thomas G, Flores-Tapia D, Pistorius S (2011) Histogram specification: a fast and flexible method to process digital images. IEEE Trans Instrum Meas 60(5):1565\u20131578","journal-title":"IEEE Trans Instrum Meas"},{"issue":"12","key":"2036_CR11","doi-asserted-by":"publisher","first-page":"3431","DOI":"10.1109\/TIP.2011.2157513","volume":"20","author":"T Celik","year":"2011","unstructured":"Celik T, Tjahjadi T (2011) Contextual and variational contrast enhancement. IEEE Trans Image Process 20(12):3431\u20133441","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"2036_CR12","doi-asserted-by":"publisher","first-page":"1032","DOI":"10.1109\/TIP.2012.2226047","volume":"22","author":"S Huang","year":"2013","unstructured":"Huang S, Cheng F, Chiu Y (2013) Efficient contrast enhancement using adaptive gamma correction with weighting distribution. IEEE Trans Image Process 22(3):1032\u20131041","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"2036_CR13","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"},{"key":"2036_CR14","doi-asserted-by":"crossref","unstructured":"Abdullah-Al-Wadud M, Kabir MH, Dewan MAA, Chae O (2007) A dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electr 53(2)","DOI":"10.1109\/TCE.2007.381734"},{"issue":"9","key":"2036_CR15","doi-asserted-by":"publisher","first-page":"4364","DOI":"10.1109\/TIP.2019.2910412","volume":"28","author":"W Ren","year":"2019","unstructured":"Ren W, Liu S, Ma L (2019) Low-light image enhancement via a deep hybrid network. IEEE Trans Image Process 28(9):4364\u20134375","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"2036_CR16","doi-asserted-by":"publisher","first-page":"2190","DOI":"10.1109\/TCSVT.2017.2728822","volume":"28","author":"J Wang","year":"2018","unstructured":"Wang J, Lu K, Xue J, He N, Shao L (2018) Single image dehazing based on the physical model and MSRCR algorithm. IEEE Trans Circuits Syst Video Technol 28(9):2190\u20132199","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"3","key":"2036_CR17","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson DJ, Rahman Z, Woodell GA (1997) Properties and performance of a center\/surround retinex. IEEE Trans Image Process 6(3):451\u2013462","journal-title":"IEEE Trans Image Process"},{"issue":"7","key":"2036_CR18","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson DJ, Rahman Z, Woodell GA (1997) A multiscale 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"},{"key":"2036_CR19","doi-asserted-by":"crossref","unstructured":"Rahman Z, Jobson DJ, Woodell GA (1996) Multi-scale retinex for color image enhancement, In: Proceedings of 3rd IEEE International Conference on Image Processing, pp 1003\u20131006","DOI":"10.1109\/ICIP.1996.560995"},{"issue":"2","key":"2036_CR20","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":"2036_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3126387","author":"C Li","year":"2021","unstructured":"Li C, Guo C, Han L (2021) Low-light image and video enhancement using deep learning: a survey. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2021.3126387","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2036_CR22","first-page":"1777","volume":"2020","author":"C Guo","year":"2020","unstructured":"Guo C, Li C, Guo J (2020) Zero-reference deep curve estimation for low-light image enhancement. IEEE\/CVF Confer Comp Vis Pattern Recogn (CVPR) 2020:1777\u20131786","journal-title":"IEEE\/CVF Confer Comp Vis Pattern Recogn (CVPR)"},{"key":"2036_CR23","doi-asserted-by":"crossref","unstructured":"Woo S, Park J, Lee JY, Kweon IS (2018) CBAM: convolutional block attention module. In: European Conference on Computer Vision (ECCV), pp 3\u201319","DOI":"10.1007\/978-3-030-01234-2_1"},{"issue":"8","key":"2036_CR24","doi-asserted-by":"publisher","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","volume":"42","author":"J Hu","year":"2020","unstructured":"Hu J, Shen L, Albanie S, Sun G, Wu E (2020) Squeeze-and-excitation networks. IEEE Trans Pattern Anal Mach Intell 42(8):2011\u20132023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2036_CR25","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast R-CNN. In: 2015 IEEE International Conference on Computer Vision (ICCV), pp 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"2036_CR26","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 (2021) DSLR: deep stacked laplacian restorer for low-light image enhancement. IEEE Trans Multimedia 23:4272\u20134284","journal-title":"IEEE Trans Multimedia"},{"issue":"7","key":"2036_CR27","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 (2021) Attention guided low-light image enhancement with a large scale low-light simulation dataset. Int J Comput Vision 129(7):2175\u20132193","journal-title":"Int J Comput Vision"},{"key":"2036_CR28","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 694\u2013711","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"2036_CR29","unstructured":"Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556"},{"issue":"4","key":"2036_CR30","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600\u2013612","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"2036_CR31","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1109\/TIP.2013.2261309","volume":"22","author":"S Wang","year":"2013","unstructured":"Wang S, Zheng J, Hu H-M, Li B (2013) Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Trans Image Process 22(9):3538\u20133548","journal-title":"IEEE Trans Image Process"},{"key":"2036_CR32","unstructured":"Ying Z, Li G, Gao W (2017) A bio-inspired multi-exposure fusion framework for low-light image enhancement. arXiv:1711.00591"},{"key":"2036_CR33","unstructured":"Dong X, Wang G, Pang Y, Li W, Wen J, Meng W, Lu Y (2011) Fast efficient algorithm for enhancement of low lighting video. In: Proceedings of the IEEE International Conference on Multimedia and Expo, pp 1\u20136"},{"key":"2036_CR34","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":"2036_CR35","doi-asserted-by":"crossref","unstructured":"Fu X, Zeng D, Huang Y, Zhang XP, Ding X (2016) A weighted variational model for simultaneous reflectance and illumination estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2782\u20132790","DOI":"10.1109\/CVPR.2016.304"},{"key":"2036_CR36","doi-asserted-by":"crossref","unstructured":"Wang W, Wei C, Yang W, Liu J (2018) Gladnet: low-light enhancement network with global awareness. In: 2018 13th IEEE International Conference on Automatic Face & Gestur Recognition (FG 2018), pp 751\u2013755","DOI":"10.1109\/FG.2018.00118"},{"key":"2036_CR37","doi-asserted-by":"crossref","unstructured":"Zhang Y, Zhang J, Guo X (2019) Kindling the darkness: a practical low-light image enhancer. In: Proceedings of the 27th ACM International Conference on Multimedia, pp 1632\u20131640","DOI":"10.1145\/3343031.3350926"},{"key":"2036_CR38","doi-asserted-by":"publisher","first-page":"2072","DOI":"10.1109\/TIP.2021.3050850","volume":"30","author":"W Yang","year":"2021","unstructured":"Yang W, Wang W, Huang H, Wang S, Liu J (2021) Sparse gradient regularized deep retinex network for robust low-light image enhancement. IEEE Trans Image Process 30:2072\u20132086","journal-title":"IEEE Trans Image Process"},{"key":"2036_CR39","doi-asserted-by":"crossref","unstructured":"Hor\u00e9 A, Ziou D (2010) Image quality metrics: PSNR vs. SSIM. In: 2010 20th International Conference on Pattern Recognition, pp 2366\u20132369","DOI":"10.1109\/ICPR.2010.579"},{"key":"2036_CR40","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3162493","author":"L Ma","year":"2022","unstructured":"Ma L, Liu R, Wang Y, Fan X, Luo Z (2022) Low-light image enhancement via self-reinforced retinex projection model. IEEE Trans Multimedia. https:\/\/doi.org\/10.1109\/TMM.2022.3162493","journal-title":"IEEE Trans Multimedia"},{"issue":"8","key":"2036_CR41","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","volume":"20","author":"L Zhang","year":"2011","unstructured":"Zhang L, Zhang L, Mou X, Zhang D (2011) FSIM: a feature similarity index for image quality assessment. IEEE Trans Image Process 20(8):2378\u20132386","journal-title":"IEEE Trans Image Process"},{"key":"2036_CR42","doi-asserted-by":"crossref","unstructured":"Zhang R, Isola P, Efros AA, Shechtman E, Wang O (2018) The unreasonable effectiveness of deep features as a perceptual metric. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 586\u2013595","DOI":"10.1109\/CVPR.2018.00068"},{"key":"2036_CR43","unstructured":"Kaiming H, Georgia G, Piotr D, Ross G (2017) Mask R-CNN. In: IEEE International Conference on Computer Vision (ICCV), pp 2961\u20132969"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-02036-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-023-02036-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-023-02036-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T04:51:14Z","timestamp":1730868674000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-023-02036-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,16]]},"references-count":43,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["2036"],"URL":"https:\/\/doi.org\/10.1007\/s13042-023-02036-9","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2023,12,16]]},"assertion":[{"value":"1 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 December 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}