{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T00:35:16Z","timestamp":1792802116257,"version":"4.5.0"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T00:00:00Z","timestamp":1673913600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T00:00:00Z","timestamp":1673913600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s00371-023-02770-9","type":"journal-article","created":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T05:51:10Z","timestamp":1673934670000},"page":"121-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":65,"title":["Illumination estimation for nature preserving low-light image enhancement"],"prefix":"10.1007","volume":"40","author":[{"given":"Kavinder","family":"Singh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5339-8671","authenticated-orcid":false,"given":"Anil Singh","family":"Parihar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,17]]},"reference":[{"key":"2770_CR1","doi-asserted-by":"crossref","unstructured":"Bychkovsky, V., Paris, S., Chan, E., Durand, F.: Learning photographic global tonal adjustment with a database of input \/ output image pairs. In: The 24th IEEE Conference on Computer Vision and Pattern Recognition (2011)","DOI":"10.1109\/CVPR.2011.5995332"},{"issue":"10","key":"2770_CR2","doi-asserted-by":"publisher","first-page":"3810","DOI":"10.1016\/j.patcog.2012.03.019","volume":"45","author":"T Celik","year":"2012","unstructured":"Celik, T.: Two-dimensional histogram equalization and contrast enhancement. Pattern Recognition 45(10), 3810\u20133824 (2012)","journal-title":"Pattern Recognition"},{"issue":"10","key":"2770_CR3","doi-asserted-by":"publisher","first-page":"2189","DOI":"10.1007\/s00371-020-01929-y","volume":"36","author":"Z Chen","year":"2020","unstructured":"Chen, Z., Hu, Z., Sheng, B., Li, P., Kim, J., Wu, E.: Simplified non-locally dense network for single-image dehazing. The Visual Computer 36(10), 2189\u20132200 (2020)","journal-title":"The Visual Computer"},{"issue":"4","key":"2770_CR4","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1134\/S1054661818040211","volume":"28","author":"KG Dhal","year":"2018","unstructured":"Dhal, K.G., Das, A., Ghoshal, N., Das, S.: Variance based brightness preserved dynamic histogram equalization for image contrast enhancement. Pattern Recogn Image Anal 28(4), 747\u2013757 (2018)","journal-title":"Pattern Recogn Image Anal"},{"issue":"12","key":"2770_CR5","doi-asserted-by":"publisher","first-page":"4965","DOI":"10.1109\/TIP.2015.2474701","volume":"24","author":"X Fu","year":"2015","unstructured":"Fu, X., Liao, Y., Zeng, D., Huang, Y., Zhang, X., Ding, X.: A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation. IEEE Trans Image Process 24(12), 4965\u20134977 (2015)","journal-title":"IEEE Trans Image Process"},{"key":"2770_CR6","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.sigpro.2016.05.031","volume":"129","author":"X Fu","year":"2016","unstructured":"Fu, X., Zeng, D., Huang, Y., Liao, Y., Ding, X., Paisley, J.: A fusion-based enhancing method for weakly illuminated images. Signal Processing 129, 82\u201396 (2016)","journal-title":"Signal Processing"},{"key":"2770_CR7","doi-asserted-by":"crossref","unstructured":"Gautam, A., Singh, S.: Neural style transfer combined with efficientdet for thermal surveillance. The Visual Computer pp. 1\u201317 (2021)","DOI":"10.1007\/s00371-021-02284-2"},{"issue":"4","key":"2770_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3072959.3073592","volume":"36","author":"M Gharbi","year":"2017","unstructured":"Gharbi, M., Chen, J., Barron, J.T., Hasinoff, S.W., Durand, F.: Deep bilateral learning for real-time image enhancement. ACM Trans. Graph. 36(4), 1\u20132 (2017)","journal-title":"ACM Trans. Graph."},{"issue":"7","key":"2770_CR9","first-page":"2015","volume":"30","author":"S Ghosh","year":"2020","unstructured":"Ghosh, S., Gavaskar, R.G., Panda, D., Chaudhury, K.N.: Fast scale-adaptive bilateral texture smoothing. IEEE Trans. Circuits. Syst. Video. Technol. 30(7), 2015\u20132026 (2020)","journal-title":"IEEE Trans. Circuits. Syst. Video. Technol."},{"issue":"12","key":"2770_CR10","doi-asserted-by":"publisher","first-page":"4559","DOI":"10.1109\/TCYB.2016.2575544","volume":"47","author":"K Gu","year":"2017","unstructured":"Gu, K., Lin, W., Zhai, G., Yang, X., Zhang, W., Chen, C.W.: No-reference quality metric of contrast-distorted images based on information maximization. IEEE Trans. Cybern. 47(12), 4559\u20134565 (2017)","journal-title":"IEEE Trans. Cybern."},{"key":"2770_CR11","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. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"issue":"2","key":"2770_CR12","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. IEEE Trans. Image Process. 26(2), 982\u2013993 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"2770_CR13","doi-asserted-by":"crossref","unstructured":"Guo, Z., Shuai, H., Liu, G., Zhu, Y., Wang, W.: Multi-level feature fusion pyramid network for object detection. The Visual Computer pp. 1\u201311 (2022)","DOI":"10.1007\/s00371-022-02589-w"},{"issue":"12","key":"2770_CR14","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1109\/TMM.2020.2969790","volume":"22","author":"S Hao","year":"2020","unstructured":"Hao, S., Han, X., Guo, Y., Xu, X., Wang, M.: Low-light image enhancement with semi-decoupled decomposition. IEEE Trans. Multim. 22(12), 3025\u201338 (2020)","journal-title":"IEEE Trans. Multim."},{"issue":"6","key":"2770_CR15","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1109\/TPAMI.2012.213","volume":"35","author":"K He","year":"2013","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6), 1397\u20131409 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2770_CR16","doi-asserted-by":"crossref","unstructured":"Hu, W., Wang, T., Wang, Y., Chen, Z., Huang, G.: Le-msfe-ddnet: a defect detection network based on low-light enhancement and multi-scale feature extraction. The Visual Computer pp. 1\u201315 (2021)","DOI":"10.1007\/s00371-021-02210-6"},{"key":"2770_CR17","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. arXiv preprint arXiv:1906.06972 (2019)"},{"issue":"3","key":"2770_CR18","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., 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":"1","key":"2770_CR19","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s00371-018-1587-6","volume":"36","author":"P Joshi","year":"2020","unstructured":"Joshi, P., Prakash, S.: Image enhancement with naturalness preservation. The Visual Computer 36(1), 71\u201383 (2020)","journal-title":"The Visual Computer"},{"issue":"12","key":"2770_CR20","doi-asserted-by":"publisher","first-page":"1613","DOI":"10.1007\/s00371-016-1305-1","volume":"33","author":"M Ju","year":"2017","unstructured":"Ju, M., Zhang, D., Wang, X.: Single image dehazing via an improved atmospheric scattering model. The Visual Computer 33(12), 1613\u20131625 (2017)","journal-title":"The Visual Computer"},{"issue":"5","key":"2770_CR21","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1007\/s00371-020-01841-5","volume":"37","author":"BA Karr","year":"2021","unstructured":"Karr, B.A., Debattista, K., Chalmers, A.G.: Optical effects on HDR calibration via a multiple exposure noise-based workflow. The Visual Computer 37(5), 895\u2013910 (2021)","journal-title":"The Visual Computer"},{"issue":"16","key":"2770_CR22","doi-asserted-by":"publisher","first-page":"5163","DOI":"10.1073\/pnas.80.16.5163","volume":"80","author":"EH Land","year":"1983","unstructured":"Land, E.H.: Recent advances in Retinex theory and some implications for cortical computations: color vision and the natural image. Proc. Nat. Acad. Sci. United States of Am. 80(16), 5163 (1983)","journal-title":"Proc. Nat. Acad. Sci. United States of Am."},{"key":"2770_CR23","doi-asserted-by":"crossref","unstructured":"Land, E.H.: Recent advances in Retinex theory. In: Central and peripheral mechanisms of colour vision, pp. 5\u201317. Springer (1985)","DOI":"10.1007\/978-1-349-08020-5_2"},{"issue":"1","key":"2770_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1364\/JOSA.61.000001","volume":"61","author":"EH Land","year":"1971","unstructured":"Land, E.H., McCann, J.J.: Lightness and retinex theory. J. Opt. Soci. Am. 61(1), 1\u201311 (1971)","journal-title":"J. Opt. Soci. Am."},{"issue":"6","key":"2770_CR25","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.: Structure-revealing low-light image enhancement via robust Retinex model. IEEE Trans. Image Process. 27(6), 2828\u20132841 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"2770_CR26","doi-asserted-by":"crossref","unstructured":"Li, M., Zhao, L., Zhou, D., Nie, R., Liu, Y., Wei, Y.: Aems: An attention enhancement network of modules stacking for lowlight image enhancement. The Visual Computer pp. 1\u201317 (2021)","DOI":"10.1007\/s00371-021-02289-x"},{"key":"2770_CR27","unstructured":"Lin, R., Liu, J., Liu, R., Fan, X.: Global structure-guided learning framework for underwater image enhancement. The Visual Computer pp. 1\u201316 (2021)"},{"key":"2770_CR28","volume-title":"Statis. Techn. Business Econom.","author":"DA Lind","year":"2014","unstructured":"Lind, D.A., Marchal, W.G., Wathen, S.A.: Statis. Techn. Business Econom., 13th edn. McGraw-Hill, New York, NY, USA (2014)","edition":"13"},{"key":"2770_CR29","doi-asserted-by":"crossref","unstructured":"Liu, R., Ma, L., Zhang, J., Fan, X., Luo, Z.: Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10561\u201310570 (2021)","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"2770_CR30","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.cviu.2018.10.010","volume":"178","author":"YP Loh","year":"2019","unstructured":"Loh, Y.P., Chan, C.S.: Getting to know low-light images with the exclusively dark dataset. Comput. Vision Image Understanding 178, 30\u201342 (2019)","journal-title":"Comput. Vision Image Understanding"},{"issue":"7","key":"2770_CR31","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1007\/s11263-021-01466-8","volume":"129","author":"F Lv","year":"2021","unstructured":"Lv, F., Li, Y., Lu, F.: Attention guided low-light image enhancement with a large scale low-light simulation dataset. Int. J. Comput. Vision 129(7), 2175\u20132193 (2021)","journal-title":"Int. J. Comput. Vision"},{"issue":"12","key":"2770_CR32","first-page":"3025","volume":"22","author":"L Ma","year":"2021","unstructured":"Ma, L., Liu, R., Zhang, J., Fan, X., Luo, Z.: Learning deep context-sensitive decomposition for low-light image enhancement. IEEE Trans. Neural Netw. Learn. Syst. 22(12), 3025\u201338 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2770_CR33","doi-asserted-by":"crossref","unstructured":"Parihar, A.S., Singh, K.: A study on retinex based method for image enhancement. In: 2nd International Conference on Inventive Systems and Control, pp. 619\u2013624 (2018)","DOI":"10.1109\/ICISC.2018.8398874"},{"issue":"7","key":"2770_CR34","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1049\/ipr2.12114","volume":"15","author":"AS Parihar","year":"2021","unstructured":"Parihar, A.S., Singh, K., Rohilla, H., Asnani, G.: Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement. IET Image Processing 15(7), 1410\u20131423 (2021)","journal-title":"IET Image Processing"},{"key":"2770_CR35","doi-asserted-by":"publisher","unstructured":"Parihar, A.S., Singh, K., Rohilla, H., Asnani, G., Kour, H.: A comprehensive analysis of fusion-based image enhancement techniques. In: 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), pp. 823\u2013828 (2020). https:\/\/doi.org\/10.1109\/ICICCS48265.2020.9120999","DOI":"10.1109\/ICICCS48265.2020.9120999"},{"key":"2770_CR36","doi-asserted-by":"crossref","unstructured":"Parihar, A.S., Varshney, D., Pandya, K., Aggarwal, A.: A comprehensive survey on video frame interpolation techniques. The Visual Computer pp. 1\u201325 (2021)","DOI":"10.1007\/s00371-020-02016-y"},{"issue":"11","key":"2770_CR37","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1049\/iet-ipr.2016.0242","volume":"10","author":"AS Parihar","year":"2016","unstructured":"Parihar, A.S., Verma, O.P.: Contrast enhancement using entropy-based dynamic sub-histogram equalisation. IET Image Processing 10(11), 799\u2013808 (2016)","journal-title":"IET Image Processing"},{"issue":"4","key":"2770_CR38","doi-asserted-by":"publisher","first-page":"1810","DOI":"10.1109\/TIP.2017.2665975","volume":"26","author":"AS Parihar","year":"2017","unstructured":"Parihar, A.S., Verma, O.P., Khanna, C.: Fuzzy-contextual contrast enhancement. IEEE Trans. Image Process. 26(4), 1810\u20131819 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"2770_CR39","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1007\/s00371-020-01838-0","volume":"37","author":"Z Rahman","year":"2021","unstructured":"Rahman, Z., Pu, Y.F., Aamir, M., Wali, S.: Structure revealing of low-light images using wavelet transform based on fractional-order denoising and multiscale decomposition. The Visual Computer 37(5), 865\u2013880 (2021)","journal-title":"The Visual Computer"},{"key":"2770_CR40","doi-asserted-by":"crossref","unstructured":"Rahman, Z.U., Jobson, D.J., Woodell, G.A.: Multi-scale retinex for color image enhancement. In: IEEE International Conference on Image Processing, vol.\u00a03, pp. 1003\u20131006. IEEE (1996)","DOI":"10.1109\/ICIP.1996.560995"},{"issue":"9","key":"2770_CR41","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., Xu, Q., Xu, X., Cao, X., Du, J., Yang, M.H.: Low-light image enhancement via a deep hybrid network. IEEE Trans. Image Process. 28(9), 4364\u20134375 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"2770_CR42","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1109\/TCSVT.2018.2828141","volume":"29","author":"Y Ren","year":"2019","unstructured":"Ren, Y., Ying, Z., Li, T.H., Li, G.: Lecarm: Low-light image enhancement using the camera response model. IEEE Trans. Circuits Syst. for Video Technol. 29(4), 968\u2013981 (2019)","journal-title":"IEEE Trans. Circuits Syst. for Video Technol."},{"issue":"4","key":"2770_CR43","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s00371-013-0863-8","volume":"30","author":"P Shanmugavadivu","year":"2014","unstructured":"Shanmugavadivu, P., Balasubramanian, K., Muruganandam, A.: Particle swarm optimized bi-histogram equalization for contrast enhancement and brightness preservation of images. The Visual Computer 30(4), 387\u2013399 (2014)","journal-title":"The Visual Computer"},{"issue":"2","key":"2770_CR44","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/TIP.2005.859378","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"Sheikh, H.R., Bovik, A.C.: Image information and visual quality. IEEE Trans. Image Process. 15(2), 430\u2013444 (2006)","journal-title":"IEEE Trans. Image Process."},{"key":"2770_CR45","unstructured":"Shen, L., Yue, Z., Feng, F., Chen, Q., Liu, S., Ma, J.: Msr-net:low-light image enhancement using deep convolutional network (2017)"},{"key":"2770_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2021.103241","volume":"79","author":"K Singh","year":"2021","unstructured":"Singh, K., Parihar, A.S.: Variational optimization based single image dehazing. J. Visual Commun. Image Represent. 79, 103241 (2021)","journal-title":"J. Visual Commun. Image Represent."},{"key":"2770_CR47","doi-asserted-by":"crossref","unstructured":"Song, X., Huang, J., Cao, J., Song, D.: Feature spatial pyramid network for low-light image enhancement. The Visual Computer pp. 1\u201311 (2022)","DOI":"10.1007\/s00371-021-02343-8"},{"issue":"5","key":"2770_CR48","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1007\/s00371-021-02079-5","volume":"37","author":"C Wang","year":"2021","unstructured":"Wang, C., He, C., Xu, M.: Fast exposure fusion of detail enhancement for brightest and darkest regions. The Visual Computer 37(5), 1233\u20131243 (2021)","journal-title":"The Visual Computer"},{"issue":"7","key":"2770_CR49","doi-asserted-by":"publisher","first-page":"1851","DOI":"10.1007\/s00371-020-01944-z","volume":"37","author":"C Wang","year":"2021","unstructured":"Wang, C., Xing, X., Yao, G., Su, Z.: Single image Deraining via deep shared pyramid network. The Visual Computer 37(7), 1851\u20131865 (2021)","journal-title":"The Visual Computer"},{"issue":"1","key":"2770_CR50","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s00371-020-01888-4","volume":"37","author":"C Wang","year":"2021","unstructured":"Wang, C., Zhang, H., Liu, L.: Total generalized variation-based Retinex image decomposition. The Visual Computer 37(1), 77\u201393 (2021)","journal-title":"The Visual Computer"},{"key":"2770_CR51","doi-asserted-by":"crossref","unstructured":"Wang, G., Gan, X., Cao, Q., Zhai, Q.: Mfanet: Multi-scale feature fusion network with attention mechanism. The Visual Computer pp. 1\u201312 (2022)","DOI":"10.1007\/s00371-022-02503-4"},{"key":"2770_CR52","doi-asserted-by":"crossref","unstructured":"Wang, R., Zhang, Q., Fu, C.W., Shen, X., Zheng, W.S., Jia, J.: Underexposed photo enhancement using deep illumination estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00701"},{"issue":"9","key":"2770_CR53","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., 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":"6","key":"2770_CR54","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.1007\/s00371-020-01882-w","volume":"37","author":"Y Wang","year":"2021","unstructured":"Wang, Y., Wang, H., Cao, J.: A contour self-compensated network for salient object detection. The Visual Computer 37(6), 1467\u20131479 (2021)","journal-title":"The Visual Computer"},{"issue":"1","key":"2770_CR55","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/s10915-018-0757-z","volume":"78","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Yin, W., Zeng, J.: Global convergence of ADMM in nonconvex Nonsmooth optimization. J. Sci. Comput. 78(1), 29\u201363 (2019)","journal-title":"J. Sci. Comput."},{"key":"2770_CR56","unstructured":"Wei, C., Wang, W., Yang, W., Liu, J.: Deep Retinex decomposition for low-light enhancement. In: British Machine Vision Conference 2018, Newcastle, UK, September 3-6, 2018, p. 155. BMVA Press (2018)"},{"key":"2770_CR57","unstructured":"Woodell, G.: Retinex image processing. Accessed:2019-08-13"},{"key":"2770_CR58","doi-asserted-by":"crossref","unstructured":"Xu, K., Yang, X., Yin, B., Lau, R.W.: Learning to restore low-light images via decomposition-and-enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00235"},{"key":"2770_CR59","doi-asserted-by":"crossref","unstructured":"YU, N., LI, J., HUA, Z.: Fla-net: multi-stage modular network for low-light image enhancement. The Visual Computer pp. 1\u201320 (2022)","DOI":"10.1007\/s00371-022-02402-8"},{"issue":"1","key":"2770_CR60","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1109\/TCSVT.2017.2763180","volume":"29","author":"S Yu","year":"2019","unstructured":"Yu, S., Zhu, H.: Low-illumination image enhancement algorithm based on a physical lighting model. IEEE Trans. Circuits. Syst. Video Technol. 29(1), 28\u201337 (2019)","journal-title":"IEEE Trans. Circuits. Syst. Video Technol."},{"key":"2770_CR61","doi-asserted-by":"crossref","unstructured":"Yu, X., Li, H., Yang, H.: Two-stage image decomposition and color regulator for low-light image enhancement. The Visual Computer pp. 1\u201311 (2022)","DOI":"10.1007\/s00371-022-02582-3"},{"issue":"7","key":"2770_CR62","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1111\/cgf.13833","volume":"38","author":"Q Zhang","year":"2019","unstructured":"Zhang, Q., Nie, Y., Zheng, W.S.: Dual illumination estimation for robust exposure correction. Comput. Graphics Forum 38(7), 243\u2013252 (2019)","journal-title":"Comput. Graphics Forum"},{"key":"2770_CR63","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Yuan, G., Xiao, C., Zhu, L., Zheng, W.S.: High-quality exposure correction of underexposed photos. In: Proceedings of the 26th ACM International Conference on Multimedia, MM \u201918, p. 582\u2013590. Association for Computing Machinery, New York, NY, USA (2018)","DOI":"10.1145\/3240508.3240595"},{"issue":"9","key":"2770_CR64","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1007\/s00371-019-01774-8","volume":"36","author":"S Zhang","year":"2020","unstructured":"Zhang, S., He, F.: Drcdn: learning deep residual convolutional dehazing networks. The Visual Computer 36(9), 1797\u20131808 (2020)","journal-title":"The Visual Computer"},{"issue":"2","key":"2770_CR65","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s00371-018-1612-9","volume":"36","author":"S Zhang","year":"2020","unstructured":"Zhang, S., He, F., Ren, W., Yao, J.: Joint learning of image detail and transmission map for single image dehazing. The Visual Computer 36(2), 305\u2013316 (2020)","journal-title":"The Visual Computer"},{"key":"2770_CR66","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, J., Guo, X.: Kindling the darkness: A practical low-light image enhancer. In: 27th ACM International Conference on Multimedia. MM \u201919, pp. 1632\u20131640. Association for Computing Machinery, New York, NY, USA (2019)","DOI":"10.1145\/3343031.3350926"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02770-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-02770-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02770-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T06:22:41Z","timestamp":1728714161000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-02770-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,17]]},"references-count":66,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["2770"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-02770-9","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,17]]},"assertion":[{"value":"5 January 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies involving humans or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Humans or animals performed"}},{"value":"The authors declare that they have no conflicts of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}