{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T06:53:17Z","timestamp":1769410397224,"version":"3.49.0"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["(SWU-KT22032)"],"award-info":[{"award-number":["(SWU-KT22032)"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Multimed Info Retr"],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1007\/s13735-023-00310-8","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T12:02:12Z","timestamp":1704456132000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks"],"prefix":"10.1007","volume":"13","author":[{"given":"Shan","family":"Liu","sequence":"first","affiliation":[]},{"given":"Shihao","family":"Shan","sequence":"additional","affiliation":[]},{"given":"Guoqiang","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Song","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,5]]},"reference":[{"issue":"3","key":"310_CR1","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/S0734-189X(87)80186-X","volume":"39","author":"SM Pizer","year":"1987","unstructured":"Pizer SM, Amburn EP, Austin JD, Cromartie R, Geselowitz A, Greer T, ter Haar B, Romeny JB, Zimmerman ZK (1987) Adaptive histogram equalization and its variations. Comput Vis Graph Image Process 39(3):355\u2013368","journal-title":"Comput Vis Graph Image Process"},{"issue":"12","key":"310_CR2","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-S (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":"9","key":"310_CR3","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, Hai-Miao H, 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":"310_CR4","doi-asserted-by":"crossref","unstructured":"Fu X, Zeng D, Huang Y, Zhang X-P, Ding X (2016) A weighted variational model for simultaneous reflectance and illumination estimation. In: 2016 IEEE Conference on computer vision and pattern recognition (CVPR), pp 2782\u20132790","DOI":"10.1109\/CVPR.2016.304"},{"issue":"2","key":"310_CR5","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2017","unstructured":"Guo X, Li Yu, 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":"6","key":"310_CR6","doi-asserted-by":"publisher","first-page":"2828","DOI":"10.1109\/TIP.2018.2810539","volume":"27","author":"M Li","year":"2018","unstructured":"Li M, Liu J, Yang W, Sun X, Guo Z (2018) Structure-revealing low-light image enhancement via robust retinex model. IEEE Trans Image Process 27(6):2828\u20132841","journal-title":"IEEE Trans Image Process"},{"key":"310_CR7","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.neucom.2016.12.070","volume":"257","author":"S Wu","year":"2017","unstructured":"Wu S, Oerlemans A, Bakker EM, Lew MS (2017) Deep binary codes for large scale image retrieval. Neurocomputing 257:5\u201315","journal-title":"Neurocomputing"},{"key":"310_CR8","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.neucom.2020.03.019","volume":"400","author":"X Wang","year":"2020","unstructured":"Wang X, Zou X, Bakker EM, Song W (2020) Self-constraining and attention-based hashing network for bit-scalable cross-modal retrieval. Neurocomputing 400:255\u2013271","journal-title":"Neurocomputing"},{"key":"310_CR9","doi-asserted-by":"publisher","first-page":"116131","DOI":"10.1016\/j.image.2020.116131","volume":"93","author":"X Zou","year":"2021","unstructured":"Zou X, Wang X, Bakker EM, Song W (2021) Multi-label semantics preserving based deep cross-modal hashing. Signal Process Image Commun 93:116131","journal-title":"Signal Process Image Commun"},{"key":"310_CR10","doi-asserted-by":"crossref","unstructured":"Ignatov A, Kobyshev N, Timofte R, Vanhoey K (2017) Dslr-quality photos on mobile devices with deep convolutional networks. In: 2017 IEEE international conference on computer vision (ICCV), pp 3297\u20133305","DOI":"10.1109\/ICCV.2017.355"},{"issue":"9","key":"310_CR11","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, Qianqian X, Xiangyu X, Cao X, Junping D, Yang M-H (2019) Low-light image enhancement via a deep hybrid network. IEEE Trans Image Process 28(9):4364\u20134375","journal-title":"IEEE Trans Image Process"},{"key":"310_CR12","first-page":"2672","volume":"3","author":"IJ Goodfellow","year":"2014","unstructured":"Goodfellow IJ, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial networks. Adv Neural Inf Process Syst 3:2672\u20132680","journal-title":"Adv Neural Inf Process Syst"},{"key":"310_CR13","doi-asserted-by":"crossref","unstructured":"Zhu J-Y, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: 2017 IEEE international conference on computer vision (ICCV), pp 2242\u20132251","DOI":"10.1109\/ICCV.2017.244"},{"key":"310_CR14","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, Ding Liu Yu, Cheng CF, Shen X, Yang J, Zhou P, Wang Z (2021) Enlightengan: deep light enhancement without paired supervision. IEEE Trans Image Process 30:2340\u20132349","journal-title":"IEEE Trans Image Process"},{"key":"310_CR15","doi-asserted-by":"publisher","first-page":"9140","DOI":"10.1109\/TIP.2020.3023615","volume":"29","author":"Z Ni","year":"2020","unstructured":"Ni Z, Yang W, Wang S, Ma L, Kwong S (2020) Towards unsupervised deep image enhancement with generative adversarial network. IEEE Trans Image Process 29:9140\u20139151","journal-title":"IEEE Trans Image Process"},{"key":"310_CR16","unstructured":"Radford A, Metz L, Chintala S (2015) Unsupervised representation learning with deep convolutional generative adversarial networks. Comput Sci"},{"key":"310_CR17","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu J-Y, Zhou T, Efros AA (2017) Image-to-image translation with conditional adversarial networks. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR), pp 5967\u20135976","DOI":"10.1109\/CVPR.2017.632"},{"key":"310_CR18","doi-asserted-by":"crossref","unstructured":"Chen C, Chen Q, Xu J, Koltun V (2018) Learning to see in the dark. In: 2018 IEEE\/CVF conference on computer vision and pattern recognition, pp 3291\u20133300","DOI":"10.1109\/CVPR.2018.00347"},{"key":"310_CR19","unstructured":"Wei C, Wang W, Yang W, Liu J (2018) Deep retinex decomposition for low-light enhancement. In: British machine vision conference (BMVC)"},{"key":"310_CR20","doi-asserted-by":"crossref","unstructured":"He J, Yihao LY, Qiao CD (2020) Conditional sequential modulation for efficient global image retouching. In: Computer vision-ECCV 2020, pp 679\u2013695","DOI":"10.1007\/978-3-030-58601-0_40"},{"key":"310_CR21","doi-asserted-by":"crossref","unstructured":"Chen Y-S, Wang Y-C, Kao M-H, Chuang Y-Y (2018) Deep photo enhancer: unpaired learning for image enhancement from photographs with gans. In: 2018 IEEE\/CVF conference on computer vision and pattern recognition, pp 6306\u20136314","DOI":"10.1109\/CVPR.2018.00660"},{"key":"310_CR22","doi-asserted-by":"crossref","unstructured":"Zamir SW, Arora A, Khan S, Hayat M, Khan F, Yang M-H, Shao L (2020) Learning enriched features for real image restoration and enhancement. In: Computer vision\u2014ECCV 2020, pp 492\u2013511","DOI":"10.1007\/978-3-030-58595-2_30"},{"key":"310_CR23","doi-asserted-by":"crossref","unstructured":"Jiang L, Zhang C, Huang M, Liu C, Shi J, Loy CC (2020) Tsit: a simple and versatile framework for image-to-image translation. In: Computer vision\u2014ECCV 2020, pp 206\u2013222","DOI":"10.1007\/978-3-030-58580-8_13"},{"key":"310_CR24","doi-asserted-by":"crossref","unstructured":"Guo C, Li C, Guo J, Loy CC, Hou J, Kwong S, Cong R (2020) Zero-reference deep curve estimation for low-light image enhancement. In: 2020 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 1777\u20131786","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"310_CR25","doi-asserted-by":"crossref","unstructured":"Liang J, Zeng H, Zhang L (2021) High-resolution photorealistic image translation in real-time: a laplacian pyramid translation network. In: 2021 IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 9387\u20139395","DOI":"10.1109\/CVPR46437.2021.00927"},{"key":"310_CR26","doi-asserted-by":"crossref","unstructured":"Sun X, Li M, He T, Fan L (2021) Enhance image as you like with unpaired learning. In: IJCAI","DOI":"10.24963\/ijcai.2021\/140"},{"key":"310_CR27","doi-asserted-by":"crossref","unstructured":"Song Y, Qian H, Du X (2021) Starenhancer: learning real-time and style-aware image enhancement. In: 2021 IEEE\/CVF international conference on computer vision (ICCV), pp 4106\u20134115","DOI":"10.1109\/ICCV48922.2021.00409"},{"key":"310_CR28","doi-asserted-by":"crossref","unstructured":"Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. In: Navab N, Hornegger J, Wells WM, Frangi AF (eds) Medical image computing and computer-assisted intervention\u2014MICCAI 2015. Springer, Cham, pp 234\u2013241","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"310_CR29","doi-asserted-by":"crossref","unstructured":"Woo S, Park J, Lee J-Y, Kweon IS (2018) Cbam: convolutional block attention module. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) Computer vision-ECCV 2018, pp 3\u201319","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"310_CR30","unstructured":"Ulyanov D, Vedaldi A, Lempitsky V (2016) Instance normalization: the missing ingredient for fast stylization. arXiv:1607.08022"},{"key":"310_CR31","doi-asserted-by":"crossref","unstructured":"Huang X, Belongie S (2017) Arbitrary style transfer in real-time with adaptive instance normalization. In: 2017 IEEE international conference on computer vision (ICCV), pp 1510\u20131519","DOI":"10.1109\/ICCV.2017.167"},{"key":"310_CR32","unstructured":"Lei Ba J, Kiros JR, Hinton GE (2016) Layer normalization. arXiv:1607.06450"},{"key":"310_CR33","unstructured":"Nam H, Kim H-E (2018) Batch-instance normalization for adaptively style-invariant neural networks. In: Proceedings of the 32nd international conference on neural information processing systems, pp 2563\u20132572"},{"key":"310_CR34","unstructured":"Kim J, Kim M, Kang H, Lee K (2020) U-gat-it: unsupervised generative attentional networks with adaptive layer-instance normalization for image-to-image translation. In: 8th International conference on learning representations (ICLR)"},{"key":"310_CR35","unstructured":"Zhang H, Goodfellow I, Metaxas D, Odena A (2019) Self-attention generative adversarial networks. In: International conference on machine learning. PMLR, pp 7354\u20137363"},{"key":"310_CR36","unstructured":"Jolicoeur-Martineau A (2019) The relativistic discriminator: a key element missing from standard gan. In: 7th International conference on learning representations (ICLR)"},{"key":"310_CR37","doi-asserted-by":"crossref","unstructured":"Johnson J, Alahi A, Fei-Fei L (2016) Perceptual losses for real-time style transfer and super-resolution. In: Leibe B, Matas J, Sebe N, Welling M (eds) Computer vision-ECCV 2016, pp 694\u2013711","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"310_CR38","doi-asserted-by":"crossref","unstructured":"Bychkovsky V, Paris S, Chan E, Durand F (2011) Learning photographic global tonal adjustment with a database of input\/output image pairs. In: CVPR 2011, pp 97\u2013104","DOI":"10.1109\/CVPR.2011.5995332"},{"issue":"4","key":"310_CR39","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"AC Zhou Wang","year":"2004","unstructured":"Zhou Wang AC, Bovik HRS, 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":"2","key":"310_CR40","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/TIP.2005.859378","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"Sheikh HR, Bovik AC (2006) Image information and visual quality. IEEE Trans Image Process 15(2):430\u2013444","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"310_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":"310_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: 2018 IEEE\/CVF conference on computer vision and pattern recognition, pp 586\u2013595","DOI":"10.1109\/CVPR.2018.00068"},{"issue":"8","key":"310_CR43","doi-asserted-by":"publisher","first-page":"3998","DOI":"10.1109\/TIP.2018.2831899","volume":"27","author":"H Talebi","year":"2018","unstructured":"Talebi H, Milanfar P (2018) Nima: neural image assessment. IEEE Trans Image Process 27(8):3998\u20134011","journal-title":"IEEE Trans Image Process"},{"issue":"8","key":"310_CR44","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TIP.2015.2426416","volume":"24","author":"L Zhang","year":"2015","unstructured":"Zhang L, Zhang L, Bovik AC (2015) A feature-enriched completely blind image quality evaluator. IEEE Trans Image Process 24(8):2579\u20132591","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"310_CR45","doi-asserted-by":"publisher","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","volume":"21","author":"A Mittal","year":"2012","unstructured":"Mittal A, Moorthy AK, Bovik AC (2012) No-reference image quality assessment in the spatial domain. IEEE Trans Image Process 21(12):4695\u20134708","journal-title":"IEEE Trans Image Process"},{"key":"310_CR46","doi-asserted-by":"crossref","unstructured":"Ma L, Ma T, Liu R, Fan X, Luo Z (2022) Toward fast, flexible, and robust low-light image enhancement. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 5637\u20135646","DOI":"10.1109\/CVPR52688.2022.00555"},{"key":"310_CR47","doi-asserted-by":"crossref","unstructured":"Liang J, Xu Y, Quan Y, Shi B, Ji H (2022) Self-supervised low-light image enhancement using discrepant untrained network priors. In: IEEE transactions on circuits and systems for video technology, page Early Access","DOI":"10.1109\/TCSVT.2022.3181781"}],"container-title":["International Journal of Multimedia Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-023-00310-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13735-023-00310-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13735-023-00310-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,28]],"date-time":"2024-03-28T11:09:51Z","timestamp":1711624191000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13735-023-00310-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,5]]},"references-count":47,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,3]]}},"alternative-id":["310"],"URL":"https:\/\/doi.org\/10.1007\/s13735-023-00310-8","relation":{},"ISSN":["2192-6611","2192-662X"],"issn-type":[{"value":"2192-6611","type":"print"},{"value":"2192-662X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,5]]},"assertion":[{"value":"19 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 November 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 March 2024","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Update","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Copyright right year has been changed from 2023 to 2024","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"1"}}