{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:24Z","timestamp":1750220544924,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,2,26]],"date-time":"2021-02-26T00:00:00Z","timestamp":1614297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Special Fund for Key Program of Science and Technology of Anhui Province","award":["201903c08020002"],"award-info":[{"award-number":["201903c08020002"]}]},{"name":"the National Natural Science Foundation of China","award":["61727809"],"award-info":[{"award-number":["61727809"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,2,26]]},"DOI":"10.1145\/3457682.3457731","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T21:53:38Z","timestamp":1624312418000},"page":"324-329","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Amplified Noise Map Guided Network for Low-Light Image Enhancement"],"prefix":"10.1145","author":[{"given":"Kai","family":"Xu","sequence":"first","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaian","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Jin","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changan","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"volume-title":"2020 12th International Conference on Machine Learning and Computing. 2020: 406-411","author":"Guo Y","key":"e_1_3_2_1_1_1","unstructured":"Guo Y , Lu Y , Yang M , Low -light Image Enhancement with Deep Blind Denoising[C]\/\/Proceedings of the 2020 12th International Conference on Machine Learning and Computing. 2020: 406-411 . Guo Y, Lu Y, Yang M, Low-light Image Enhancement with Deep Blind Denoising[C]\/\/Proceedings of the 2020 12th International Conference on Machine Learning and Computing. 2020: 406-411."},{"key":"e_1_3_2_1_2_1","volume-title":"Color image contrast enhancement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems","author":"Nakai K","year":"2013","unstructured":"Nakai K , Hoshi Y , Taguchi A. Color image contrast enhancement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems . IEEE , 2013 : 445-449. Nakai K, Hoshi Y, Taguchi A. Color image contrast enhancement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2013: 445-449."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2007.4429280"},{"key":"e_1_3_2_1_4_1","volume-title":"Contrast limited adaptive histogram equalization [J]. Graphics gems","author":"Zuiderveld K.","year":"1994","unstructured":"Zuiderveld K. Contrast limited adaptive histogram equalization [J]. Graphics gems , 1994 : 474-485. Zuiderveld K. Contrast limited adaptive histogram equalization [J]. Graphics gems, 1994: 474-485."},{"key":"e_1_3_2_1_5_1","volume-title":"Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560","author":"Wei C","year":"2018","unstructured":"Wei C , Wang W , Yang W , Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560 , 2018 . Wei C, Wang W, Yang W, Deep retinex decomposition for low-light enhancement[J]. arXiv preprint arXiv:1808.04560, 2018."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Fu X Zeng D Huang Y A weighted variational model for simultaneous reflectance and illumination estimation[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 2782-2790.  Fu X Zeng D Huang Y A weighted variational model for simultaneous reflectance and illumination estimation[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 2782-2790.","DOI":"10.1109\/CVPR.2016.304"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Wang R Zhang Q Fu C W Underexposed photo enhancement using deep illumination estimation[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 6849-6857.  Wang R Zhang Q Fu C W Underexposed photo enhancement using deep illumination estimation[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 6849-6857.","DOI":"10.1109\/CVPR.2019.00701"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910412"},{"key":"e_1_3_2_1_9_1","volume-title":"Attention-guided low-light image enhancement [J]. arXiv preprint arXiv:1908.00682","author":"Lv F","year":"2019","unstructured":"Lv F , Lu F. Attention-guided low-light image enhancement [J]. arXiv preprint arXiv:1908.00682 , 2019 . Lv F, Lu F. Attention-guided low-light image enhancement [J]. arXiv preprint arXiv:1908.00682, 2019."},{"key":"e_1_3_2_1_10_1","volume-title":"Stacked hourglass networks for human pose estimation[C]\/\/European conference on computer vision","author":"Newell A","year":"2016","unstructured":"Newell A , Yang K , Deng J. Stacked hourglass networks for human pose estimation[C]\/\/European conference on computer vision . Springer , Cham , 2016 : 483-499. Newell A, Yang K, Deng J. Stacked hourglass networks for human pose estimation[C]\/\/European conference on computer vision. Springer, Cham, 2016: 483-499."},{"volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3482-3492","author":"Kim Y","key":"e_1_3_2_1_11_1","unstructured":"Kim Y , Soh J W , Park G Y , Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3482-3492 . Kim Y, Soh J W, Park G Y, Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3482-3492."},{"key":"e_1_3_2_1_12_1","volume-title":"Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention","author":"Ronneberger O","year":"2015","unstructured":"Ronneberger O , Fischer P , Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention . Springer , Cham , 2015 : 234-241. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]\/\/International Conference on Medical image computing and computer-assisted intervention. Springer, Cham, 2015: 234-241."},{"key":"e_1_3_2_1_13_1","volume-title":"Tajbakhsh N, Unet++: A nested u-net architecture for medical image segmentation[M]\/\/Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support","author":"Zhou Z","year":"2018","unstructured":"Zhou Z , Siddiquee M M R , Tajbakhsh N, Unet++: A nested u-net architecture for medical image segmentation[M]\/\/Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support . Springer , Cham , 2018 : 3-11. Zhou Z, Siddiquee M M R, Tajbakhsh N, Unet++: A nested u-net architecture for medical image segmentation[M]\/\/Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer, Cham, 2018: 3-11."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Park T Liu M Y Wang T C Semantic image synthesis with spatially-adaptive normalization[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 2337-2346.  Park T Liu M Y Wang T C Semantic image synthesis with spatially-adaptive normalization[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 2337-2346.","DOI":"10.1109\/CVPR.2019.00244"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Yang W Wang S Fang Y From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3063-3072.  Yang W Wang S Fang Y From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 3063-3072.","DOI":"10.1109\/CVPR42600.2020.00313"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.10.010"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2639450"},{"key":"e_1_3_2_1_18_1","volume-title":"A bio-inspired multi-exposure fusion framework for low-light image enhancement [J]. arXiv preprint arXiv:1711.00591","author":"Ying Z","year":"2017","unstructured":"Ying Z , Li G , Gao W. A bio-inspired multi-exposure fusion framework for low-light image enhancement [J]. arXiv preprint arXiv:1711.00591 , 2017 . Ying Z, Li G, Gao W. A bio-inspired multi-exposure fusion framework for low-light image enhancement [J]. arXiv preprint arXiv:1711.00591, 2017."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.05.031"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2794218"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Ying Z Li G Ren Y A new low-light image enhancement algorithm using camera response model[C]\/\/Proceedings of the IEEE International Conference on Computer Vision Workshops. 2017: 3015-3022.  Ying Z Li G Ren Y A new low-light image enhancement algorithm using camera response model[C]\/\/Proceedings of the IEEE International Conference on Computer Vision Workshops. 2017: 3015-3022.","DOI":"10.1109\/ICCVW.2017.356"},{"key":"e_1_3_2_1_22_1","volume-title":"Fast efficient algorithm for enhancement of low lighting video[C]\/\/2011 IEEE International Conference on Multimedia and Expo","author":"Dong X","year":"2011","unstructured":"Dong X , Wang G , Pang Y , Fast efficient algorithm for enhancement of low lighting video[C]\/\/2011 IEEE International Conference on Multimedia and Expo . IEEE , 2011 : 1-6. Dong X, Wang G, Pang Y, Fast efficient algorithm for enhancement of low lighting video[C]\/\/2011 IEEE International Conference on Multimedia and Expo. IEEE, 2011: 1-6."},{"key":"e_1_3_2_1_23_1","volume-title":"Joint enhancement and denoising method via sequential decomposition[C]\/\/2018 IEEE International Symposium on Circuits and Systems (ISCAS)","author":"Ren X","year":"2018","unstructured":"Ren X , Li M , Cheng W H , Joint enhancement and denoising method via sequential decomposition[C]\/\/2018 IEEE International Symposium on Circuits and Systems (ISCAS) . IEEE , 2018 : 1-5. Ren X, Li M, Cheng W H, Joint enhancement and denoising method via sequential decomposition[C]\/\/2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2018: 1-5."},{"key":"e_1_3_2_1_24_1","volume-title":"Liu D","author":"Jiang Y","year":"1906","unstructured":"Jiang Y , Gong X , Liu D , Enlightengan : Deep light enhancement without paired supervision[J]. arXiv preprint arXiv: 1906 .06972, 2019. Jiang Y, Gong X, Liu D, Enlightengan: Deep light enhancement without paired supervision[J]. arXiv preprint arXiv:1906.06972, 2019."},{"key":"e_1_3_2_1_25_1","volume-title":"Speech and Signal Processing (ICASSP). IEEE","author":"Zhang J","year":"2020","unstructured":"Zhang J , Liu R , Ma L , Principle-Inspired Multi -Scale Aggregation Network for Extremely Low-Light Image Enhancement[C]\/\/ ICASSP 2020 -2020 IEEE International Conference on Acoustics , Speech and Signal Processing (ICASSP). IEEE , 2020: 2638-2642. Zhang J, Liu R, Ma L, Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement[C]\/\/ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020: 2638-2642."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2007.4429280"},{"key":"e_1_3_2_1_27_1","volume-title":"Color image contrast enhacement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems","author":"Nakai K","year":"2013","unstructured":"Nakai K , Hoshi Y , Taguchi A. Color image contrast enhacement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems . IEEE , 2013 : 445-449. Nakai K, Hoshi Y, Taguchi A. Color image contrast enhacement method based on differential intensity\/saturation gray-levels histograms[C]\/\/2013 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2013: 445-449."},{"volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 1780-1789","author":"Guo C","key":"e_1_3_2_1_28_1","unstructured":"Guo C , Li C , Guo J , Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 1780-1789 . Guo C, Li C, Guo J, Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement[C]\/\/Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 2020: 1780-1789."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2810539"}],"event":{"name":"ICMLC 2021: 2021 13th International Conference on Machine Learning and Computing","acronym":"ICMLC 2021","location":"Shenzhen China"},"container-title":["2021 13th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457731","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3457682.3457731","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:08Z","timestamp":1750195688000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3457682.3457731"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,26]]},"references-count":29,"alternative-id":["10.1145\/3457682.3457731","10.1145\/3457682"],"URL":"https:\/\/doi.org\/10.1145\/3457682.3457731","relation":{},"subject":[],"published":{"date-parts":[[2021,2,26]]},"assertion":[{"value":"2021-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}