{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:36:56Z","timestamp":1775036216508,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":58,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T00:00:00Z","timestamp":1698278400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Sino-Germen Mobility Programme","award":["M-0421"],"award-info":[{"award-number":["M-0421"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071500"],"award-info":[{"award-number":["62071500"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3611909","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:40Z","timestamp":1698391660000},"page":"7459-7469","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":162,"title":["FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7236-9438","authenticated-orcid":false,"given":"Chenxi","family":"Wang","sequence":"first","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3164-6779","authenticated-orcid":false,"given":"Hongjun","family":"Wu","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9670-7366","authenticated-orcid":false,"given":"Zhi","family":"Jin","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University, Guangdong Provincial Key Laboratory of Fire Science and Technology, &amp; Guangdong Provincial Key Laboratory\u00a0of\u00a0Robot Digital Intelligent Manufacturing Technology, Guangzhou, China"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Learning Multi-Scale Photo Exposure Correction. In IEEE Conf. Comput. Vis. Pattern Recog. 9157--9167","author":"Afifi Mahmoud","unstructured":"Mahmoud Afifi, Konstantinos G. Derpanis, Bjorn Ommer, and Michael S. Brown. 2021. Learning Multi-Scale Photo Exposure Correction. In IEEE Conf. Comput. Vis. Pattern Recog. 9157--9167."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSPEC.1967.5217220"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2794218"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00347"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.05.031"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.304"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00236"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073592"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Xin Guo Xueyang Fu Man Zhou Zhen Huang Jialun Peng and Zheng-Jun Zha. 2022. Exploring fourier prior for single image rain removal. In IJCAI. 935--941.","DOI":"10.24963\/ijcai.2022\/131"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01667-9"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103712"},{"key":"e_1_3_2_1_14_1","volume-title":"Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. In Eur. Conf. Comput. Vis. Springer, 163--180","author":"Huang Jie","year":"2022","unstructured":"Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, and Zhiwei Xiong. 2022. Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. In Eur. Conf. Comput. Vis. Springer, 163--180."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.355"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01366"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3051462"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2938340"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2982174"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.597272"},{"key":"e_1_3_2_1_21_1","volume-title":"Adam: A Method for Stochastic Optimization. In Int. Conf. Learn. Represent.","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Int. Conf. Learn. Represent."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2012.6467022"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3126387"},{"key":"e_1_3_2_1_24_1","volume-title":"Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement. arXiv preprint arXiv:2302.11831","author":"Li Chongyi","year":"2023","unstructured":"Chongyi Li, Chun-Le Guo, Man Zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, and Chen Change Loy. 2023. Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement. arXiv preprint arXiv:2302.11831 (2023)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548322"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.008"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2442920"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00555"},{"key":"e_1_3_2_1_30_1","volume-title":"Brit. Mach. Vis. Conf. 1--12","author":"Nsamp NE","year":"2018","unstructured":"NE Nsamp, Zhongyun Hu, and Qing Wang. 2018. Learning exposure correction via consistency modeling. In Brit. Mach. Vis. Conf. 1--12."},{"key":"e_1_3_2_1_31_1","volume-title":"ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. In ACM Int. Conf. Multimedia. 1358--1366","author":"Pan Jinwang","year":"2022","unstructured":"Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, and Xianming Liu. 2022. ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. In ACM Int. Conf. Multimedia. 1358--1366."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475341"},{"key":"e_1_3_2_1_33_1","volume-title":"Robert Cromartie, Ari Geselowitz, Trey Greer, Bart ter Haar Romeny, John B Zimmerman, and Karel Zuiderveld.","author":"Pizer Stephen M","year":"1987","unstructured":"Stephen M Pizer, E Philip Amburn, John D Austin, Robert Cromartie, Ari Geselowitz, Trey Greer, Bart ter Haar Romeny, John B Zimmerman, and Karel Zuiderveld. 1987. Adaptive histogram equalization and its variations. Computer vision, graphics, and image processing, Vol. 39, 3 (1987), 355--368."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.1636183"},{"key":"e_1_3_2_1_35_1","volume-title":"Adv. Neural Inform. Process. Syst.","volume":"28","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Adv. Neural Inform. Process. Syst., Vol. 28 (2015)."},{"key":"e_1_3_2_1_36_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_37_1","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of Machine Learning Research, Vol. 9, 11 (2008).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_38_1","volume-title":"Adv. Neural Inform. Process. Syst.","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Adv. Neural Inform. Process. Syst., Vol. 30 (2017)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00701"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2261309"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_1_42_1","volume-title":"Brit. Mach. Vis. Conf.","author":"Wei Chen","year":"2018","unstructured":"Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. 2018. Deep retinex decomposition for low-light enhancement. In Brit. Mach. Vis. Conf."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9859785"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"e_1_3_2_1_45_1","volume-title":"SNR-Aware Low-Light Image Enhancement. In IEEE Conf. Comput. Vis. Pattern Recog. 17714--17724","author":"Xu Xiaogang","year":"2022","unstructured":"Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, and Jiaya Jia. 2022. SNR-Aware Low-Light Image Enhancement. In IEEE Conf. Comput. Vis. Pattern Recog. 17714--17724."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350877"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3050850"},{"key":"e_1_3_2_1_49_1","volume-title":"Phase Consistent Ecological Domain Adaptation. In IEEE Conf. Comput. Vis. Pattern Recog.","author":"Yang Yanchao","year":"2020","unstructured":"Yanchao Yang, Dong Lao, Ganesh Sundaramoorthi, and Stefano Soatto. 2020a. Phase Consistent Ecological Domain Adaptation. In IEEE Conf. Comput. Vis. Pattern Recog."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_11"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_30"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01407-x"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350926"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3547952"},{"key":"e_1_3_2_1_56_1","volume-title":"Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening. In ACM Int. Conf. Multimedia. 3375--3384","author":"Zhou Man","year":"2022","unstructured":"Man Zhou, Jie Huang, Chongyi Li, Hu Yu, Keyu Yan, Naishan Zheng, and Feng Zhao. 2022a. Adaptively Learning Low-high Frequency Information Integration for Pan-sharpening. In ACM Int. Conf. Multimedia. 3375--3384."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19797-0_16"},{"key":"e_1_3_2_1_58_1","first-page":"22995","article-title":"Deep Fourier Up-Sampling","volume":"35","author":"Zhou Man","year":"2022","unstructured":"Man Zhou, Hu Yu, Jie Huang, Feng Zhao, Jinwei Gu, Chen Change Loy, Deyu Meng, and Chongyi Li. 2022c. Deep Fourier Up-Sampling. Adv. Neural Inform. Process. Syst., Vol. 35 (2022), 22995--23008.","journal-title":"Adv. Neural Inform. Process. Syst."}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","location":"Ottawa ON Canada","acronym":"MM '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611909","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3611909","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:11:37Z","timestamp":1755821497000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3611909"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":58,"alternative-id":["10.1145\/3581783.3611909","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3611909","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}