{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T03:59:48Z","timestamp":1781841588304,"version":"3.54.5"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T00:00:00Z","timestamp":1564963200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T00:00:00Z","timestamp":1564963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["688082"],"award-info":[{"award-number":["688082"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DUE-1610911"],"award-info":[{"award-number":["DUE-1610911"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s00034-019-01222-x","type":"journal-article","created":{"date-parts":[[2019,8,5]],"date-time":"2019-08-05T14:02:53Z","timestamp":1565013773000},"page":"1561-1580","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["A Deep Learning Framework for Joint Image Restoration and Recognition"],"prefix":"10.1007","volume":"39","author":[{"given":"Ruilong","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5856-2223","authenticated-orcid":false,"given":"Lyudmila","family":"Mihaylova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nidhal Carla","family":"Bouaynaya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,8,5]]},"reference":[{"key":"1222_CR1","unstructured":"G. Chen, Y. Li, S.N. Srihari, Joint visual denoising and classification using deep learning, in Proceedings of IEEE International Conference on Image Processing, Phoenix, AZ, USA (2016), pp. 3673\u20133677"},{"key":"1222_CR2","doi-asserted-by":"crossref","unstructured":"R. Chen, M.A. Jalal, L. Mihaylova, R. Moore, Learning capsules for vehicle logo recognition, in Proceedings of the International Conference on Information Fusion, Cambridge, UK (2018)","DOI":"10.23919\/ICIF.2018.8455227"},{"issue":"8","key":"1222_CR3","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans. Image Process. 16(8), 2080\u20132095 (2007)","journal-title":"IEEE Trans. Image Process."},{"key":"1222_CR4","unstructured":"A. Daneshmand, F. Facchinei, V. Kungurtsev, G. Scutari, Flexible selective parallel algorithms for big data optimization, in Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers (2014), pp. 3\u20137"},{"issue":"15","key":"1222_CR5","doi-asserted-by":"publisher","first-page":"3914","DOI":"10.1109\/TSP.2015.2436357","volume":"63","author":"A Daneshmand","year":"2015","unstructured":"A. Daneshmand, F. Facchinei, V. Kungurtsev, G. Scutari, Hybrid random\/deterministic parallel algorithms for convex and nonconvex big data optimization. IEEE Trans. Signal Process. 63(15), 3914\u20133929 (2015)","journal-title":"IEEE Trans. Signal Process."},{"key":"1222_CR6","unstructured":"I. Dassios, K. Fountoulakis, J. Gondzio, A second-order method for compressed sensing problems with coherent and redundant dictionaries. arXiv preprint: \narXiv:1405.4146\n\n (2014)"},{"issue":"6","key":"1222_CR7","doi-asserted-by":"publisher","first-page":"A2783","DOI":"10.1137\/141002062","volume":"37","author":"IK Dassios","year":"2015","unstructured":"I.K. Dassios, K. Fountoulakis, J. Gondzio, A preconditioner for a primal-dual newton conjugate gradient method for compressed sensing problems. SIAM J. Sci. Comput. 37(6), A2783\u2013A2812 (2015)","journal-title":"SIAM J. Sci. Comput."},{"key":"1222_CR8","unstructured":"J. Deng, W. Dong, R. Socher, L.J. Li, K. Li, L. Fei-Fei, Imagenet: a large-scale hierarchical image database, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Miami, FL, USA (2009), pp. 248\u2013255"},{"issue":"2","key":"1222_CR9","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"C. Dong, C.C. Loy, K. He, X. Tang, Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1222_CR10","unstructured":"D. Glasner, S. Bagon, M. Irani, Super-resolution from a single image, in Proceedings of the IEEE International Conference on Computer Vision, Kyoto, Japan (2009), pp. 349\u2013356"},{"key":"1222_CR11","unstructured":"K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, NV, USA (2016), pp. 770\u2013778"},{"issue":"4","key":"1222_CR12","doi-asserted-by":"publisher","first-page":"1951","DOI":"10.1109\/TITS.2014.2387069","volume":"16","author":"Y Huang","year":"2015","unstructured":"Y. Huang, R. Wu, Y. Sun, W. Wang, X. Ding, Vehicle logo recognition system based on convolutional neural networks with a pretraining strategy. IEEE Trans. Intell. Transp. Syst. 16(4), 1951\u20131960 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"1222_CR13","unstructured":"M. Jaderberg, K. Simonyan, A. Zisserman, et\u00a0al., Spatial transformer networks, in Proceedings of the Advances in Neural Information Processing Systems, Montr\u00e9al, Quebec, Canada (2015), pp. 2017\u20132025"},{"issue":"6","key":"1222_CR14","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","volume":"32","author":"KI Kim","year":"2010","unstructured":"K.I. Kim, Y. Kwon, Single-image super-resolution using sparse regression and natural image prior. IEEE Trans. Pattern Anal. Mach. Intell. 32(6), 1127\u20131133 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1222_CR15","unstructured":"A. Krizhevsky, I. Sutskever, G.E. Hinton, ImageNet classification with deep convolutional neural networks, in Proceedings of the 25th International Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA (2012), pp. 1097\u20131105"},{"issue":"11","key":"1222_CR16","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y Lecun","year":"1998","unstructured":"Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"2","key":"1222_CR17","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"D.G. Lowe, Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"1222_CR18","unstructured":"X. Mao, C. Shen, Y.B. Yang, Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections, in Proceedings of the Advances in Neural Information Processing Systems, Barcelona, Spain (2016), pp. 1802\u20132810"},{"key":"1222_CR19","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.ins.2016.04.010","volume":"358\u2013359","author":"T Ni","year":"2016","unstructured":"T. Ni, J. Zhai, A matrix-free smoothing algorithm for large-scale support vector machines. Inf. Sci. 358\u2013359, 29\u201343 (2016)","journal-title":"Inf. Sci."},{"issue":"1\u20134","key":"1222_CR20","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"L.I. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms. Phys. D: Nonlinear Phenom. 60(1\u20134), 259\u2013268 (1992)","journal-title":"Phys. D: Nonlinear Phenom."},{"key":"1222_CR21","unstructured":"S. Sabour, N. Frosst, G.E. Hinton, Dynamic routing between capsules, in Proceedings of the Advances in Neural Information Processing Systems, Long Beach, CA, USA (2017), pp. 3859\u20133869"},{"key":"1222_CR22","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-642-15825-4_10","volume-title":"Artificial Neural Networks \u2013 ICANN 2010","author":"Dominik Scherer","year":"2010","unstructured":"D. Scherer, A. M\u00fcller, S. Behnke, Evaluation of pooling operations in convolutional architectures for object recognition, in Proceedings of International Conference on Artificial Neural Networks, Thessaloniki, Greece (2010), pp. 92\u2013101"},{"issue":"11","key":"1222_CR23","doi-asserted-by":"publisher","first-page":"3440","DOI":"10.1109\/TIP.2006.881959","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"H.R. Sheikh, M.F. Sabir, A.C. Bovik, A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15(11), 3440\u20133451 (2006)","journal-title":"IEEE Trans. Image Process."},{"key":"1222_CR24","unstructured":"K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, in Proceedings of the International Conference on Learning Representations, San Diego, CA, USA (2015), pp. 1\u201314"},{"issue":"1","key":"1222_CR25","first-page":"1929","volume":"15","author":"N Srivastava","year":"2014","unstructured":"N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, R. Salakhutdinov, Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1), 1929\u20131958 (2014)","journal-title":"J. Mach. Learn. Res."},{"key":"1222_CR26","unstructured":"C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, A. Rabinovich, et\u00a0al., Going deeper with convolutions, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, USA (2015), pp. 1\u20139"},{"key":"1222_CR27","unstructured":"R. Timofte, V. De, L. Van\u00a0Gool, Anchored neighborhood regression for fast example-based super-resolution, in Proceedings of the IEEE International Conference on Computer Vision, Sydney, NSW, Australia (2013), pp. 1920\u20131927"},{"key":"1222_CR28","unstructured":"R. Wang, D. Tao, Recent progress in image deblurring. CoRR abs\/1409.6838 (2014). \narxiv:1409.6838"},{"issue":"4","key":"1222_CR29","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"1222_CR30","unstructured":"J. Yang, Z. Lin, S. Cohen, Fast image super-resolution based on in-place example regression, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2013), pp. 1059\u20131066"},{"key":"1222_CR31","unstructured":"M.D. Zeiler, R. Fergus, Visualizing and understanding convolutional networks, in Proceedings of the European Conference on Computer Vision, Zurich, Switzerland (2014), pp. 818\u2013833"},{"issue":"10","key":"1222_CR32","doi-asserted-by":"publisher","first-page":"2584","DOI":"10.1109\/TITS.2017.2658662","volume":"18","author":"H Zhu","year":"2017","unstructured":"H. Zhu, K.V. Yuen, L. Mihaylova, H. Leung, Overview of environment perception for intelligent vehicles. IEEE Trans. Intell. Transp. Syst. 18(10), 2584\u20132601 (2017)","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01222-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00034-019-01222-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01222-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,3]],"date-time":"2020-08-03T23:20:57Z","timestamp":1596496857000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00034-019-01222-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,5]]},"references-count":32,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["1222"],"URL":"https:\/\/doi.org\/10.1007\/s00034-019-01222-x","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"value":"0278-081X","type":"print"},{"value":"1531-5878","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,5]]},"assertion":[{"value":"1 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 July 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}