{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T05:48:23Z","timestamp":1769752103980,"version":"3.49.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971297"],"award-info":[{"award-number":["61971297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971297"],"award-info":[{"award-number":["61971297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1007\/s11760-024-03431-7","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T22:01:50Z","timestamp":1722031310000},"page":"7821-7831","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Illumination-guided semi-supervised network for low-light image enhancement jointly with denoising"],"prefix":"10.1007","volume":"18","author":[{"given":"Jingzhi","family":"Ouyang","sequence":"first","affiliation":[]},{"given":"Keya","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,26]]},"reference":[{"issue":"3","key":"3431_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, S.M., Amburn, E.P., Austin, J.D., Cromartie, R., Geselowitz, A., Greer, T., Haar Romeny, B., Zimmerman, J.B., Zuiderveld, K.: Adaptive histogram equalization and its variations. Comput. Vis., Gr. Image Process. 39(3), 355\u2013368 (1987)","journal-title":"Comput. Vis., Gr. Image Process."},{"key":"3431_CR2","unstructured":"Wei, C., Wang, W., Yang, W., Liu, J.: Deep retinex decomposition for low-light enhancement. Proceedings of the British Machine Vision Conference (2018)"},{"key":"3431_CR3","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, J., Guo, X.: Kindling the darkness: A practical low-light image enhancer. Proceedings of the 27th ACM international conference on multimedia (2019)","DOI":"10.1145\/3343031.3350926"},{"key":"3431_CR4","doi-asserted-by":"crossref","unstructured":"Fan, M., Wang, W., Yang, W., Liu, J.: Integrating semantic segmentation and retinex model for low-light image enhancement. Proceedings of the 28th ACM international conference on multimedia (2020)","DOI":"10.1145\/3394171.3413757"},{"key":"3431_CR5","doi-asserted-by":"crossref","unstructured":"Wu, W., Weng, J., Zhang, P., Wang, X., Yang, W., Jiang, J.: Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (2022)","DOI":"10.1109\/CVPR52688.2022.00581"},{"key":"3431_CR6","doi-asserted-by":"crossref","unstructured":"Guo, C., Li, C., Guo, J., Loy, C.C., Hou, J., Kwong, S., Cong, R.: Zero-reference deep curve estimation for low-light image enhancement. Proceedings of the IEEE\/CVF conference on Computer Vision and Pattern Recognition (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"3431_CR7","unstructured":"Lv, F., Lu, F., Wu, J., Lim, C.: Mbllen: Low-light image\/video enhancement using cnns. In: BMVC, Northumbria University vol. 220, p. 4 (2018)"},{"key":"3431_CR8","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., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., Wang, Z.: Enlightengan: Deep light enhancement without paired supervision. IEEE Trans. Image Process. 30, 2340\u20132349 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"3431_CR9","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2016","unstructured":"Guo, X., Li, Y., Ling, H.: Lime: Low-light image enhancement via illumination map estimation. IEEE Trans. Image Process. 26(2), 982\u2013993 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"3431_CR10","doi-asserted-by":"crossref","unstructured":"Wu, Y., Pan, C., Wang, G., Yang, Y., Wei, J., Li, C., Shen, H.T.: Learning semantic-aware knowledge guidance for low-light image enhancement, Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 1662\u20131671 (2023)","DOI":"10.1109\/CVPR52729.2023.00166"},{"issue":"6","key":"3431_CR11","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1038\/scientificamerican1277-108","volume":"237","author":"EH Land","year":"1977","unstructured":"Land, E.H.: The retinex theory of color vision. Sci. Am. 237(6), 108\u2013129 (1977)","journal-title":"Sci. Am."},{"issue":"3","key":"3431_CR12","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson, D.J., Rahman, Z.-U., Woodell, G.A.: Properties and performance of a center\/surround retinex. IEEE Trans. Image Process. 6(3), 451\u2013462 (1997)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"3431_CR13","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"DJ Jobson","year":"1997","unstructured":"Jobson, D.J., Rahman, Z.-U., Woodell, G.A.: A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. Image Process. 6(7), 965\u2013976 (1997)","journal-title":"IEEE Trans. Image Process."},{"key":"3431_CR14","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1022314423998","volume":"52","author":"R Kimmel","year":"2003","unstructured":"Kimmel, R., Elad, M., Shaked, D., Keshet, R., Sobel, I.: A variational framework for retinex. Int. J. Comput. Vision 52, 7\u201323 (2003)","journal-title":"Int. J. Comput. Vision"},{"issue":"1","key":"3431_CR15","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1137\/100806588","volume":"4","author":"MK Ng","year":"2011","unstructured":"Ng, M.K., Wang, W.: A total variation model for retinex. SIAM J. Imag. Sci. 4(1), 345\u2013365 (2011)","journal-title":"SIAM J. Imag. Sci."},{"issue":"3","key":"3431_CR16","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.1137\/15M1006908","volume":"8","author":"W Wang","year":"2015","unstructured":"Wang, W., He, C.: A variational model with barrier functionals for retinex. SIAM J. Imag. Sci. 8(3), 1955\u20131980 (2015)","journal-title":"SIAM J. Imag. Sci."},{"key":"3431_CR17","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore, K.G., Akintayo, A., Sarkar, S.: Llnet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recogn. 61, 650\u2013662 (2017)","journal-title":"Pattern Recogn."},{"key":"3431_CR18","doi-asserted-by":"publisher","unstructured":"Tang, L., Ma, J., Zhang, H., Guo, X.: Drlie: Flexible low-light image enhancement via disentangled representations. IEEE Transactions on Neural Networks and Learning Systems, 1\u201314 (2022) https:\/\/doi.org\/10.1109\/TNNLS.2022.3190880","DOI":"10.1109\/TNNLS.2022.3190880"},{"key":"3431_CR19","doi-asserted-by":"crossref","unstructured":"Kim, G., Kwon, D., Kwon, J.: Low-lightgan: Low-light enhancement via advanced generative adversarial network with task-driven training. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 2811\u20132815 (2019)","DOI":"10.1109\/ICIP.2019.8803328"},{"issue":"2","key":"3431_CR20","doi-asserted-by":"publisher","first-page":"110","DOI":"10.26599\/BDMA.2021.9020020","volume":"5","author":"R Wang","year":"2022","unstructured":"Wang, R., Jiang, B., Yang, C., Li, Q., Zhang, B.: Magan: Unsupervised low-light image enhancement guided by mixed-attention. Big Data Min. Anal. 5(2), 110\u2013119 (2022)","journal-title":"Big Data Min. Anal."},{"key":"3431_CR21","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1109\/TPAMI.1980.4766994","volume":"2","author":"J Lee","year":"1980","unstructured":"Lee, J.: Sen: Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. Pattern Anal. Mach. Intell. 2, 165\u2013168 (1980)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3431_CR22","doi-asserted-by":"publisher","first-page":"208","DOI":"10.5201\/ipol.2011.bcm_nlm","volume":"1","author":"A Buades","year":"2011","unstructured":"Buades, A., Coll, B., Morel, J.-M.: Non-local means denoising. Image Proc. Line 1, 208\u2013212 (2011)","journal-title":"Image Proc. Line"},{"key":"3431_CR23","doi-asserted-by":"crossref","unstructured":"Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising with block-matching and 3d filtering. In: Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, vol. 6064, pp. 354\u2013365 . SPIE (2006)","DOI":"10.1117\/12.643267"},{"key":"3431_CR24","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"9","key":"3431_CR25","doi-asserted-by":"publisher","first-page":"4608","DOI":"10.1109\/TIP.2018.2839891","volume":"27","author":"K Zhang","year":"2018","unstructured":"Zhang, K., Zuo, W., Zhang, L.: Ffdnet: Toward a fast and flexible solution for cnn-based image denoising. IEEE Trans. Image Process. 27(9), 4608\u20134622 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"3431_CR26","doi-asserted-by":"crossref","unstructured":"Guo, S., Yan, Z., Zhang, K., Zuo, W., Zhang, L.: Toward convolutional blind denoising of real photographs. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1712\u20131722 (2019)","DOI":"10.1109\/CVPR.2019.00181"},{"key":"3431_CR27","unstructured":"Lehtinen, J., Munkberg, J., Hasselgren, J., Laine, S., Karras, T., Aittala, M., Aila, T.: Noise2noise: Learning image restoration without clean data. arXiv preprint arXiv:1803.04189 (2018)"},{"key":"3431_CR28","doi-asserted-by":"crossref","unstructured":"Krull, A., Buchholz, T.-O., Jug, F.: Noise2void-learning denoising from single noisy images. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2129\u20132137 (2019)","DOI":"10.1109\/CVPR.2019.00223"},{"key":"3431_CR29","unstructured":"Laine, S., Karras, T., Lehtinen, J., Aila, T.: High-quality self-supervised deep image denoising. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"3431_CR30","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5505\u20135514 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"3431_CR31","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Paul\u00a0Smolley, S.: Least squares generative adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2794\u20132802 (2017)","DOI":"10.1109\/ICCV.2017.304"},{"key":"3431_CR32","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II 14, pp. 694\u2013711. Springer (2016)","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"3431_CR33","doi-asserted-by":"publisher","first-page":"95","DOI":"10.3389\/fnins.2019.00095","volume":"13","author":"A Sengupta","year":"2019","unstructured":"Sengupta, A., Ye, Y., Wang, R., Liu, C., Roy, K.: Going deeper in spiking neural networks: Vgg and residual architectures. Front. Neurosci. 13, 95 (2019)","journal-title":"Front. Neurosci."},{"key":"3431_CR34","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1007\/s11263-020-01418-8","volume":"129","author":"J Liu","year":"2021","unstructured":"Liu, J., Dejia, X., Yang, W., Fan, M., Huang, H.: Benchmarking low-light image enhancement and beyond. Int. J. Comput. Vision 129, 1153\u20131184 (2021). https:\/\/doi.org\/10.1007\/s11263-020-01418-8","journal-title":"Int. J. Comput. Vision"},{"issue":"4","key":"3431_CR35","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1109\/TIP.2018.2794218","volume":"27","author":"J Cai","year":"2018","unstructured":"Cai, J., Gu, S., Zhang, L.: Learning a deep single image contrast enhancer from multi-exposure images. IEEE Trans. Image Process. 27(4), 2049\u20132062 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"3431_CR36","doi-asserted-by":"crossref","unstructured":"Chen, G., Chen, C., Guo, S., Liang, Z., Wong, K.-Y.K., Zhang, L.: HDR video reconstruction: A coarse-to-fine network and a real-world benchmark dataset (2021)","DOI":"10.1109\/ICCV48922.2021.00250"},{"issue":"9","key":"3431_CR37","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.: Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Trans. Image Process. 22(9), 3538\u20133548 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"3431_CR38","doi-asserted-by":"publisher","first-page":"3345","DOI":"10.1109\/TIP.2015.2442920","volume":"24","author":"K Ma","year":"2015","unstructured":"Ma, K., Zeng, K., Wang, Z.: Perceptual quality assessment for multi-exposure image fusion. IEEE Trans. Image Process. 24(11), 3345\u20133356 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"3431_CR39","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.: Contrast enhancement based on layered difference representation of 2d histograms. IEEE Trans. Image Process. 22(12), 5372\u20135384 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"3431_CR40","doi-asserted-by":"publisher","first-page":"8486","DOI":"10.1109\/TCSVT.2022.3195996","volume":"32","author":"C Liu","year":"2022","unstructured":"Liu, C., Wu, F., Wang, X.: Efinet: Restoration for low-light images via enhancement-fusion iterative network. IEEE Trans. Circuits Syst. Video Technol. 32(12), 8486\u20138499 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3431_CR41","unstructured":"Liu, R., Ma, L., Ma, T., Fan, X., Luo, Z.: Learning with nested scene modeling and cooperative architecture search for low-light vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(05), 5953\u20135969 (2023)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03431-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03431-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03431-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T17:40:35Z","timestamp":1726249235000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03431-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,26]]},"references-count":41,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2024,11]]}},"alternative-id":["3431"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03431-7","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,26]]},"assertion":[{"value":"23 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 June 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2024","order":4,"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 competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}