{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:29:55Z","timestamp":1777735795443,"version":"3.51.4"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T00:00:00Z","timestamp":1595376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00530-020-00671-8","type":"journal-article","created":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T09:07:50Z","timestamp":1595408870000},"page":"2015-2025","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Low-light-level image enhancement algorithm based on integrated networks"],"prefix":"10.1007","volume":"28","author":[{"given":"Peng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongxia","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"671_CR1","doi-asserted-by":"crossref","unstructured":"Talaulikar, A.S., Sanathanan, S., Modi, C.N.: An enhanced approach for detecting helmet on motorcyclists using image processing and machine learning techniques. Advanced Computing and Communication Technologies (2019)","DOI":"10.1007\/978-981-13-0680-8_11"},{"key":"671_CR2","first-page":"10","volume":"6","author":"C Yan","year":"2013","unstructured":"Yan, C.: Several contrast enhancement algorithms for low-light images [J]. J. Jingdezhen Univ. 6, 10\u201312 (2013)","journal-title":"J. Jingdezhen Univ."},{"key":"671_CR3","unstructured":"Bo, P., Yiming, W., Pengbo, et al.: Research and implementation of low illumination image enhancement algorithm. Comput. Appl. (6) (2007)"},{"issue":"10","key":"671_CR4","first-page":"65","volume":"46","author":"D Lili","year":"2018","unstructured":"Lili, D., Chang, D., Wenhai, X.: Two improved methods of image enhancement based on histogram equalization [J]. J. Electron. 46(10), 65\u201373 (2018)","journal-title":"J. Electron."},{"issue":"2","key":"671_CR5","first-page":"235","volume":"22","author":"L Xueming","year":"2005","unstructured":"Xueming, L.: Image enhancement algorithm based on Retinex theory [J]. Comput. Appl. Res. 22(2), 235\u2013237 (2005)","journal-title":"Comput. Appl. Res."},{"key":"671_CR6","doi-asserted-by":"crossref","unstructured":"Li, L., Wang, R., Wang, W., et al. A low-light image enhancement method for both de-noising and contrast enlarging[C]\/\/2015 IEEE International Conference on Image Processing (ICIP). IEEE, September 27\u201330, 2015, Quebec City, Canada","DOI":"10.1109\/ICIP.2015.7351501"},{"key":"671_CR7","unstructured":"Yandong, L., Zongbo, H., Leihang. Review of convolutional neural networks [J].Comput. Appl. 36(9), 2508\u20132515 (2016)"},{"key":"671_CR8","unstructured":"Hou, J.-C., Wang, S.-S., Lai, Y.-H., et al.: Audio-visual speech enhancement based on multimodal deep convolutional neural network (2017). arXiv preprint arXiv:1804.03641"},{"key":"671_CR9","unstructured":"Chao, C., Chao, C. Application of improved single-scale Retinex algorithm in image enhancement [J]. Comput. Appl. Softw. 30(4), 55\u201357 (2013)"},{"key":"671_CR10","doi-asserted-by":"publisher","unstructured":"Watanabe, T., Kuwahara, Y,. Kojima, A., Kurosawa, T.: Improvement of color quality with modified linear multiscale retinex. Proc. SPIE 5008, Color imaging VIII: processing, hardcopy, and applications, 13 January 2003 (2003). https:\/\/doi.org\/10.1117\/12.472030","DOI":"10.1117\/12.472030"},{"issue":"3","key":"671_CR11","first-page":"114","volume":"7","author":"H Chun","year":"2017","unstructured":"Chun, H., Guoqin, S.: Algorithmic implementation based on MSRCR theory [J]. Intell. Comput. Appl. 7(3), 114\u2013116 (2017)","journal-title":"Intell. Comput. Appl."},{"key":"671_CR12","doi-asserted-by":"crossref","unstructured":"Fu, X., Zeng, D., Yue, H. et al. A weighted variational model for simultaneous reflectance and illumination estimation[C]\/\/computer vision & pattern recognition. Las Vegas, Nevada, USA, Jun 26, 2016\u2013Jul 1, 2016","DOI":"10.1109\/CVPR.2016.304"},{"issue":"2","key":"671_CR13","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.: LIME: low-light image enhancement via illumination map estimation[J]. IEEE Trans. Image Process. 26(2), 982\u2013993 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"671_CR14","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2014","unstructured":"Dong, C., Loy, C.C., He, K., et al.: Image super-resolution using deep convolutional networks[J]. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"671_CR15","unstructured":"Guoliang, Y., Nan, X., Fang, L., et al. Research on the deep learning classification method of non-linear activation function [J]. J. Jiangxi Univ. Technol. 39(193)(3), 79\u201386 (2018)"},{"key":"671_CR16","unstructured":"Yandong, L., Zongbo, H., Leihang. A review of Convolutional neural network [J]. Comput. Appl. 36(9), 2508\u20132515 (2016)"},{"issue":"1","key":"671_CR17","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1186\/s13640-016-0113-x","volume":"2016","author":"I Djurovi\u0107","year":"2016","unstructured":"Djurovi\u0107, I.: BM3D filter in salt-and-pepper noise removal[J]. Eurasip J. Image Video Process. 2016(1), 13 (2016)","journal-title":"Eurasip J. Image Video Process."},{"key":"671_CR18","first-page":"181","volume":"5","author":"Q Huanqing","year":"2014","unstructured":"Huanqing, Q.: Design of lattice structure filter [J]. Dig. Technol. Appl. 5, 181\u2013185 (2014)","journal-title":"Dig. Technol. Appl."},{"key":"671_CR19","unstructured":"Abdullah, H.R., Aleawy Algazi, N.A., Bayes estimators for the shape parameter of pareto type i distribution under generalized square error loss function[J]. Soc. Sci. Electron. Publ. 20\u201332 (2014)"},{"key":"671_CR20","unstructured":"Xiaoqiao, H., Junsheng, S., Jian, Y., et al. Evaluation of color image quality based on mean square error and peak signal-to-noise ratio [J]. J. Photon. 36(Sup1)"},{"issue":"12","key":"671_CR21","first-page":"1758","volume":"11","author":"YB Tong","year":"2006","unstructured":"Tong, Y.B., Zhang, Q.S., Yun-Ping, Q.I.: Image quality assessing by combining PSNR with SSIM[J]. J. Image Graph. 11(12), 1758\u20131763 (2006)","journal-title":"J. Image Graph."},{"key":"671_CR22","unstructured":"Bergh, M.V.D, Boix, X., Roig, G., et al. SEEDS: superpixels extracted via energy-driven sampling[C]\/\/European conference on computer vision. Springer, Berlin (2012)"},{"key":"671_CR23","doi-asserted-by":"crossref","unstructured":"Cai, B., Xu, X., Jia, K., et al. DehazeNet: an end-to-end system for single image haze removal.[J]. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","DOI":"10.1109\/TIP.2016.2598681"},{"key":"671_CR24","doi-asserted-by":"crossref","unstructured":"Ren, W., Si, L., Hua, Z., et al. Single image dehazing via multi-scale convolutional neural networks[M]\/\/computer vision\u2014ECCV 2016. 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"671_CR25","unstructured":"Zhang, Z, He, T, Zhang, H, et al. Bag of freebies for training object detection neural networks (2019). arXiv preprint arXiv:1902.04103"},{"key":"671_CR26","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., et al. Delving deep into rectifiers: surpassing human-level performance on imagenet classification (2015). arXiv preprint arXiv:1502.01852","DOI":"10.1109\/ICCV.2015.123"},{"key":"671_CR27","first-page":"129","volume":"2","author":"Z Weihe","year":"2014","unstructured":"Weihe, Z., Junwei, Yang, Yuxiang, X.: Bidirectional equalization of dynamic histogram for image enhancement [J]. Stereol. Image Anal. China 2, 129\u2013139 (2014)","journal-title":"Stereol. Image Anal. China"},{"key":"671_CR28","doi-asserted-by":"crossref","unstructured":"Hongqiang, M., Shiping, M., Yueli, X., et al. Low illumination image enhancement based on deep convolution neural network [J]. J. Opt. 39(2) (2019)","DOI":"10.3788\/AOS201939.0210004"},{"key":"671_CR29","unstructured":"Li, T., Zhu, C., Xiang, G., et al. LLCNN: a convolutional neural network for low-light image enhancement[c]\/\/visual communications & image processing. Taichung, Taiwan, December 09 (2018)"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-020-00671-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-020-00671-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-020-00671-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,23]],"date-time":"2022-11-23T00:19:23Z","timestamp":1669162763000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-020-00671-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,22]]},"references-count":29,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["671"],"URL":"https:\/\/doi.org\/10.1007\/s00530-020-00671-8","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,22]]},"assertion":[{"value":"22 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}