{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:08:35Z","timestamp":1774879715645,"version":"3.50.1"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s11760-019-01569-3","type":"journal-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T15:04:59Z","timestamp":1569942299000},"page":"407-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Deep artifact-free residual network for single-image super-resolution"],"prefix":"10.1007","volume":"14","author":[{"given":"Hamdollah","family":"Nasrollahi","sequence":"first","affiliation":[]},{"given":"Kamran","family":"Farajzadeh","sequence":"additional","affiliation":[]},{"given":"Vahid","family":"Hosseini","sequence":"additional","affiliation":[]},{"given":"Esmaeil","family":"Zarezadeh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4011-4670","authenticated-orcid":false,"given":"Milad","family":"Abdollahzadeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,1]]},"reference":[{"key":"1569_CR1","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1175\/1520-0450(1979)018<1016:LFIOAT>2.0.CO;2","volume":"18","author":"CE Duchon","year":"1979","unstructured":"Duchon, C.E.: Lanczos filtering in one and two dimensions. J. Appl. Meteorol. 18, 1016\u20131022 (1979)","journal-title":"J. Appl. Meteorol."},{"key":"1569_CR2","unstructured":"Sun, J., Xu, Z., Shum, H.-Y.: Image super-resolution using gradient profile prior. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2008, pp. 1\u20138 (2008)"},{"key":"1569_CR3","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","volume":"32","author":"KI Kim","year":"2010","unstructured":"Kim, K.I., Kwon, Y.: Single-image super-resolution using sparse regression and natural image prior. IEEE Trans. Pattern Anal. Mach. Intell. 32, 1127\u20131133 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1569_CR4","doi-asserted-by":"crossref","unstructured":"Timofte, R., De Smet, V., Van Gool, L.: A+: adjusted anchored neighborhood regression for fast super-resolution. In: Asian Conference on Computer Vision, pp. 111\u2013126 (2014)","DOI":"10.1007\/978-3-319-16817-3_8"},{"key":"1569_CR5","doi-asserted-by":"crossref","unstructured":"Yang, C.-Y., Yang, M.-H.: Fast direct super-resolution by simple functions. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 561\u2013568 (2013)","DOI":"10.1109\/ICCV.2013.75"},{"key":"1569_CR6","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"Yang, J., Wright, J., Huang, T.S., Ma, Y.: Image super-resolution via sparse representation. IEEE Trans. Image Process. 19, 2861\u20132873 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"1569_CR7","doi-asserted-by":"crossref","unstructured":"Schulter, S., Leistner, C., Bischof, H.: Fast and accurate image upscaling with super-resolution forests. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3791\u20133799 (2015)","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"1569_CR8","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38, 295\u2013307 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1569_CR9","doi-asserted-by":"crossref","unstructured":"Dong, C., Loy, C.C., Tang, X.: Accelerating the super-resolution convolutional neural network. In: European Conference on Computer Vision, pp. 391\u2013407 (2016)","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"1569_CR10","doi-asserted-by":"crossref","unstructured":"Kim, J., Kwon Lee, J., Mu Lee, K.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1646\u20131654 (2016)","DOI":"10.1109\/CVPR.2016.182"},{"key":"1569_CR11","doi-asserted-by":"crossref","unstructured":"Kim, J., Kwon Lee, J., Mu Lee, K.: Deeply-recursive convolutional network for image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1637\u20131645 (2016)","DOI":"10.1109\/CVPR.2016.181"},{"key":"1569_CR12","doi-asserted-by":"crossref","unstructured":"Shah, A., Kadam, E., Shah, H., Shinde, S., Shingade, S.: Deep residual networks with exponential linear unit. In: Proceedings of the Third International Symposium on Computer Vision and the Internet, pp. 59\u201365 (2016)","DOI":"10.1145\/2983402.2983406"},{"key":"1569_CR13","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"},{"key":"1569_CR14","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1007\/s11760-016-1045-8","volume":"11","author":"P Sidike","year":"2017","unstructured":"Sidike, P., Krieger, E., Alom, M.Z., Asari, V.K., Taha, T.: A fast single-image super-resolution via directional edge-guided regularized extreme learning regression. Signal Image Video Process. 11, 961\u2013968 (2017)","journal-title":"Signal Image Video Process."},{"key":"1569_CR15","doi-asserted-by":"crossref","unstructured":"Yang, C.-Y., Ma, C., Yang, M.-H.: Single-image super-resolution: a benchmark. In: European Conference on Computer Vision, pp. 372\u2013386 (2014)","DOI":"10.1007\/978-3-319-10593-2_25"},{"key":"1569_CR16","doi-asserted-by":"crossref","unstructured":"Glasner, D., Bagon, S., Irani, M.: Super-resolution from a single image. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 349\u2013356 (2009)","DOI":"10.1109\/ICCV.2009.5459271"},{"key":"1569_CR17","doi-asserted-by":"crossref","unstructured":"Huang, J.-B., Singh, A., Ahuja, N.: Single image super-resolution from transformed self-exemplars. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5197\u20135206 (2015)","DOI":"10.1109\/CVPR.2015.7299156"},{"key":"1569_CR18","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/s11760-018-1350-5","volume":"13","author":"AM Chaudhry","year":"2019","unstructured":"Chaudhry, A.M., Riaz, M.M., Ghafoor, A.: Super-resolution based on self-example learning and guided filtering. Signal Image Video Process. 13, 237\u2013244 (2019)","journal-title":"Signal Image Video Process."},{"key":"1569_CR19","unstructured":"Bevilacqua, M., Roumy, A., Guillemot, C., Alberi-Morel, M.L.: Low-complexity single-image super-resolution based on nonnegative neighbor embedding. In: Proceedings of the 23rd British Machine Vision Conference (BMVC), pp. 135.1\u2013135.10. BMVA Press (2012) (ISBN 1-901725-46-4)"},{"key":"1569_CR20","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/38.988747","volume":"22","author":"WT Freeman","year":"2002","unstructured":"Freeman, W.T., Jones, T.R., Pasztor, E.C.: Example-based super-resolution. IEEE Comput. Graph. Appl. 22, 56\u201365 (2002)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"1569_CR21","doi-asserted-by":"crossref","unstructured":"Jianchao, Y., Wright, J., Huang, T., Ma, Y.: Image super-resolution as sparse representation of raw image patches. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2008)","DOI":"10.1109\/CVPR.2008.4587647"},{"key":"1569_CR22","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/TIP.2012.2231086","volume":"22","author":"W Dong","year":"2013","unstructured":"Dong, W., Zhang, L., Lukac, R., Shi, G.: Sparse representation based image interpolation with nonlocal autoregressive modeling. IEEE Trans. Image Process. 22, 1382\u20131394 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"1569_CR23","doi-asserted-by":"publisher","first-page":"1904","DOI":"10.1109\/TPAMI.2015.2389824","volume":"37","author":"K He","year":"2015","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37, 1904\u20131916 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1569_CR24","doi-asserted-by":"crossref","unstructured":"Nejati, H., Ghazijahani, H.A., Abdollahzadeh, M., Malekzadeh, T., Cheung, N.-M., Lee, K.H., et al.: Fine-grained wound tissue analysis using deep neural network. arXiv preprint arXiv:1802.10426 (2018)","DOI":"10.1109\/ICASSP.2018.8461927"},{"key":"1569_CR25","doi-asserted-by":"crossref","unstructured":"Song, S., Cheung, N.-M., Chandrasekhar, V., Mandal, B.: Deep Adaptive Temporal Pooling for Activity Recognition. arXiv preprint arXiv:1808.07272 (2018)","DOI":"10.1145\/3240508.3240713"},{"key":"1569_CR26","unstructured":"Malekzadeh, T., Abdollahzadeh, M., Nejati, H., Cheung, N.-M.: Aircraft Fuselage Defect Detection Using Deep Neural Networks. arXiv preprint arXiv:1712.09213 (2017)"},{"key":"1569_CR27","doi-asserted-by":"crossref","unstructured":"Hoang, T., Do, T.-T., Le Tan, D.-K., Cheung, N.-M.: Selective deep convolutional features for image retrieval. In: Proceedings of the 2017 ACM on Multimedia Conference, pp. 1600\u20131608 (2017)","DOI":"10.1145\/3123266.3123417"},{"key":"1569_CR28","doi-asserted-by":"crossref","unstructured":"Abdollahzadeh, M., Malekzadeh, T., Seyedarabi, H.: Multi-focus image fusion for visual sensor networks. In: 2016 24th Iranian Conference on Electrical Engineering (ICEE), pp. 1673\u20131677 (2016)","DOI":"10.1109\/IranianCEE.2016.7585790"},{"key":"1569_CR29","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tian, Y., Kong, Y., Zhong, B., Fu, Y.: Residual dense network for image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2472\u20132481 (2018)","DOI":"10.1109\/CVPR.2018.00262"},{"key":"1569_CR30","doi-asserted-by":"publisher","first-page":"31959","DOI":"10.1109\/ACCESS.2019.2903582","volume":"7","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Wang, L., Wang, H., Li, P.: End-to-end image super-resolution via deep and shallow convolutional networks. IEEE Access 7, 31959\u201331970 (2019)","journal-title":"IEEE Access"},{"key":"1569_CR31","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/TIP.2018.2874285","volume":"28","author":"Y Wen","year":"2019","unstructured":"Wen, Y., Sheng, B., Li, P., Lin, W., Feng, D.D.: Deep color guided coarse-to-fine convolutional network cascade for depth image super-resolution. IEEE Trans. Image Process. 28, 994\u20131006 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1569_CR32","first-page":"1","volume":"13","author":"C Xie","year":"2018","unstructured":"Xie, C., Liu, Y., Zeng, W., Lu, X.: An improved method for single image super-resolution based on deep learning. Signal Image Video Process. 13, 1\u20139 (2018)","journal-title":"Signal Image Video Process."},{"key":"1569_CR33","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"1569_CR34","doi-asserted-by":"crossref","unstructured":"Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: European Conference on Computer Vision, pp. 818\u2013833 (2014)","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"1569_CR35","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural Networks for Pattern Recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, Oxford (1995)"},{"key":"1569_CR36","doi-asserted-by":"crossref","unstructured":"Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. arXiv preprint arXiv:1405.3531 (2014)","DOI":"10.5244\/C.28.6"},{"key":"1569_CR37","unstructured":"Pascanu, R., Mikolov, T., Bengio, Y.: On the difficulty of training recurrent neural networks. In: International Conference on Machine Learning, pp. 1310\u20131318 (2013)"},{"key":"1569_CR38","doi-asserted-by":"crossref","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: European Conference on Computer Vision, pp. 184\u2013199 (2014)","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"1569_CR39","doi-asserted-by":"crossref","unstructured":"Zeyde, R., Elad, M., Protter, M.: On single image scale-up using sparse-representations. In: International Conference on Curves and Surfaces, pp. 711\u2013730 (2010)","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"1569_CR40","unstructured":"Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Eighth IEEE International Conference on Computer Vision. ICCV 2001. Proceedings, pp. 416\u2013423 (2001)"},{"key":"1569_CR41","doi-asserted-by":"publisher","first-page":"43222","DOI":"10.1109\/ACCESS.2018.2863233","volume":"6","author":"X Xiang","year":"2018","unstructured":"Xiang, X., Zhai, M., Zhang, R., Qiao, Y., El Saddik, A.: Deep optical flow supervised learning with prior assumptions. IEEE Access 6, 43222\u201343232 (2018)","journal-title":"IEEE Access"},{"key":"1569_CR42","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86, 2278\u20132324 (1998)","journal-title":"Proc. IEEE"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-019-01569-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-019-01569-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-019-01569-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T10:13:07Z","timestamp":1721815987000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-019-01569-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,1]]},"references-count":42,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["1569"],"URL":"https:\/\/doi.org\/10.1007\/s11760-019-01569-3","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,1]]},"assertion":[{"value":"4 December 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}