{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T09:18:26Z","timestamp":1768814306250,"version":"3.49.0"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T00:00:00Z","timestamp":1585526400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T00:00:00Z","timestamp":1585526400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CAREER"],"award-info":[{"award-number":["CAREER"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s11263-019-01288-9","type":"journal-article","created":{"date-parts":[[2020,3,30]],"date-time":"2020-03-30T09:03:57Z","timestamp":1585559037000},"page":"1829-1846","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Exploiting Semantics for Face Image Deblurring"],"prefix":"10.1007","volume":"128","author":[{"given":"Ziyi","family":"Shen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Sheng","family":"Lai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingfa","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Kautz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4848-2304","authenticated-orcid":false,"given":"Ming-Hsuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,30]]},"reference":[{"key":"1288_CR1","unstructured":"Amos, B., Ludwiczuk, B., & Satyanarayanan, M. (2016). Openface: A general-purpose face recognition library with mobile applications. Technical report, CMU-CS-16-118."},{"key":"1288_CR2","doi-asserted-by":"crossref","unstructured":"Anwar, S., Phuoc\u00a0Huynh, C., & Porikli, F. (2015). Class-specific image deblurring. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2015.64"},{"issue":"8","key":"1288_CR3","doi-asserted-by":"publisher","first-page":"3502","DOI":"10.1109\/TIP.2012.2192126","volume":"21","author":"G Boracchi","year":"2012","unstructured":"Boracchi, G., & Foi, A. (2012). Modeling the performance of image restoration from motion blur. IEEE Transactions on Image Processing, 21(8), 3502\u20133517.","journal-title":"IEEE Transactions on Image Processing"},{"key":"1288_CR4","doi-asserted-by":"crossref","unstructured":"Chakrabarti, A. (2016). A neural approach to blind motion deblurring. In European conference on computer vision.","DOI":"10.1007\/978-3-319-46487-9_14"},{"key":"1288_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Q., & Koltun, V. (2017). Photographic image synthesis with cascaded refinement networks. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2017.168"},{"issue":"5","key":"1288_CR6","first-page":"145:1","volume":"28","author":"S Cho","year":"2009","unstructured":"Cho, S., & Lee, S. (2009). Fast motion deblurring. ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), 28(5), 145:1\u2013145:8.","journal-title":"ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia)"},{"issue":"6\u20137","key":"1288_CR7","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1007\/s11263-018-1138-7","volume":"127","author":"GG Chrysos","year":"2019","unstructured":"Chrysos, G. G., Favaro, P., & Zafeiriou, S. (2019). Motion deblurring of faces. International Journal of Computer Vision, 127(6\u20137), 801\u2013823.","journal-title":"International Journal of Computer Vision"},{"key":"1288_CR8","doi-asserted-by":"crossref","unstructured":"Dong, C., Deng, Y., Change\u00a0Loy, C., & Tang, X. (2015). Compression artifacts reduction by a deep convolutional network. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2015.73"},{"key":"1288_CR9","doi-asserted-by":"crossref","unstructured":"Dong, J., Pan, J., Su, Z., & Yang, M.H. (2017). Blind image deblurring with outlier handling. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2017.271"},{"key":"1288_CR10","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1145\/1141911.1141956","volume":"25","author":"R Fergus","year":"2006","unstructured":"Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T., & Freeman, W. T. (2006). Removing camera shake from a single photograph. ACM Transactions on Graphics (Proceedings of SIGGRAPH), 25, 787\u2013794.","journal-title":"ACM Transactions on Graphics (Proceedings of SIGGRAPH)"},{"key":"1288_CR11","doi-asserted-by":"publisher","first-page":"1737","DOI":"10.1109\/TIP.2008.2001399","volume":"17","author":"A Foi","year":"2008","unstructured":"Foi, A., Trimeche, M., Katkovnik, V., & Egiazarian, K. (2008). Practical Poissonian\u2013Gaussian noise modeling and fitting for single-image raw-data. IEEE Transactions on Image Processing, 17, 1737\u20131754.","journal-title":"IEEE Transactions on Image Processing"},{"key":"1288_CR12","unstructured":"Gatys, L.A., Ecker, A.S., & Bethge, M. (2015). Texture synthesis using convolutional neural networks. In Neural information processing systems."},{"key":"1288_CR13","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial nets. In Neural information processing systems."},{"key":"1288_CR14","doi-asserted-by":"crossref","unstructured":"Hacohen, Y., Shechtman, E., Lischinski, D. (2013). Deblurring by example using dense correspondence. In IEEE International conference on computer vision.","DOI":"10.1109\/ICCV.2013.296"},{"key":"1288_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.90"},{"key":"1288_CR16","doi-asserted-by":"crossref","unstructured":"Hirsch, M., Schuler, C. J., Harmeling, S., & Sch\u00f6lkopf, B. (2011). Fast removal of non-uniform camera shake. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2011.6126276"},{"key":"1288_CR17","doi-asserted-by":"crossref","unstructured":"Hradi\u0161, M., Kotera, J., Zemc\u00edk, P., & Sroubek, F. (2015). Convolutional neural networks for direct text deblurring. In British machine vision conference.","DOI":"10.5244\/C.29.6"},{"key":"1288_CR18","doi-asserted-by":"crossref","unstructured":"Hu, Z., Cho, S., Wang, J., & Yang, M. H. (2014a). Deblurring low-light images with light streaks. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.432"},{"key":"1288_CR19","doi-asserted-by":"crossref","unstructured":"Hu, Z., Xu, L., & Yang, M. H. (2014b). Joint depth estimation and camera shake removal from single blurry image. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2014.370"},{"key":"1288_CR20","doi-asserted-by":"crossref","unstructured":"Jin, M., Hirsch, M., & Favaro, P. (2018). Learning face deblurring fast and wide. In CVPR workshops (pp. 745\u2013753)","DOI":"10.1109\/CVPRW.2018.00118"},{"key":"1288_CR21","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., & Fei-Fei, L. (2016). Perceptual losses for real-time style transfer and super-resolution. In European Conference on Computer Vision","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"1288_CR22","doi-asserted-by":"crossref","unstructured":"Kae, A., Sohn, K., Lee, H., & Learned-Miller, E. G. (2013). Augmenting CRFs with Boltzmann machine shape priors for image labeling. In IEEE conference on computer vision and pattern recognition","DOI":"10.1109\/CVPR.2013.263"},{"key":"1288_CR23","doi-asserted-by":"crossref","unstructured":"Kim, J., Lee, J. K., & Lee, K. M. (2016). Accurate image super-resolution using very deep convolutional networks. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.182"},{"key":"1288_CR24","doi-asserted-by":"crossref","unstructured":"Krishnan, D., Tay, T., & Fergus, R. (2011). Blind deconvolution using a normalized sparsity measure. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2011.5995521"},{"key":"1288_CR25","doi-asserted-by":"crossref","unstructured":"Kupyn, O., Budzan, V., Mykhailych, M., Mishkin, D., & Matas, J. (2018). Deblurgan: Blind motion deblurring using conditional adversarial networks. In IEEE conference on computer vision and pattern recognition (pp. 8183\u20138192).","DOI":"10.1109\/CVPR.2018.00854"},{"key":"1288_CR26","unstructured":"Lai, W. S., Ding, J. J., Lin, Y. Y., & Chuang, Y. Y. (2015). Blur kernel estimation using normalized color-line prior. In IEEE conference on computer vision and pattern recognition."},{"key":"1288_CR27","doi-asserted-by":"crossref","unstructured":"Lai, W. S., Huang, J. B., Ahuja, N., & Yang, M. H. (2017). Deep Laplacian pyramid networks for fast and accurate super-resolution. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.618"},{"key":"1288_CR28","doi-asserted-by":"crossref","unstructured":"Lai, W. S., Huang, J. B., Hu, Z., Ahuja, N., & Yang, M. H. (2016). A comparative study for single image blind deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.188"},{"key":"1288_CR29","doi-asserted-by":"crossref","unstructured":"Le, V., Brandt, J., Lin, Z., Bourdev, L., & Huang, T. S. (2012). Interactive facial feature localization. In European conference on computer vision.","DOI":"10.1007\/978-3-642-33712-3_49"},{"key":"1288_CR30","doi-asserted-by":"crossref","unstructured":"Ledig, C., Theis, L., Huszar, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., & Shi, W. (2017). Photo-realistic single image super-resolution using a generative adversarial network. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.19"},{"key":"1288_CR31","doi-asserted-by":"crossref","unstructured":"Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. (2009). Understanding and evaluating blind deconvolution algorithms. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2009.5206815"},{"key":"1288_CR32","doi-asserted-by":"crossref","unstructured":"Li, L., Pan, J., Lai, W. S., Gao, C., Sang, N., & Yang, M. H. (2018). Learning a discriminative prior for blind image deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2018.00692"},{"key":"1288_CR33","doi-asserted-by":"crossref","unstructured":"Liu, Y., Dong, W., Gong, D., Zhang, L., & Shi, Q. (2018). Deblurring natural image using super-Gaussian fields. In European conference on computer vision (pp. 467\u2013484).","DOI":"10.1007\/978-3-030-01246-5_28"},{"key":"1288_CR34","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Wang, X., & Tang, X. (2015). Deep learning face attributes in the wild. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2015.425"},{"key":"1288_CR35","unstructured":"Mao, X., Shen, C., & Yang, Y. B. (2016). Image restoration using very deep convolutional encoder\u2013decoder networks with symmetric skip connections. In Neural information processing systems."},{"key":"1288_CR36","doi-asserted-by":"crossref","unstructured":"Michaeli, T., & Irani, M. (2014). Blind deblurring using internal patch recurrence. In European conference on computer vision.","DOI":"10.1007\/978-3-319-10578-9_51"},{"key":"1288_CR37","doi-asserted-by":"crossref","unstructured":"Nah, S., Hyun Kim, T., & Mu Lee, K. (2017). Deep multi-scale convolutional neural network for dynamic scene deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.35"},{"key":"1288_CR38","doi-asserted-by":"crossref","unstructured":"Nimisha, T. M., Singh, A. K., & Rajagopalan, A. N. (2017). Blur-invariant deep learning for blind-deblurring. In IEEE international conference on computer vision (pp. 4762\u20134770).","DOI":"10.1109\/ICCV.2017.509"},{"key":"1288_CR39","doi-asserted-by":"crossref","unstructured":"Pan, J., Dong, J., Tai, Y., Su, Z., & Yang, M. (2017a). Learning discriminative data fitting functions for blind image deblurring. In IEEE international conference on computer vision (pp. 1077\u20131085)","DOI":"10.1109\/ICCV.2017.122"},{"key":"1288_CR40","doi-asserted-by":"crossref","unstructured":"Pan, J., Hu, Z., Su, Z., & Yang, M. (2014). Deblurring face images with exemplars. In European conference on computer vision.","DOI":"10.1007\/978-3-319-10584-0_4"},{"issue":"2","key":"1288_CR41","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPAMI.2016.2551244","volume":"39","author":"J Pan","year":"2017","unstructured":"Pan, J., Hu, Z., Su, Z., & Yang, M. (2017b). L$${}_{0}$$-regularized intensity and gradient prior for deblurring text images and beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(2), 342\u2013355.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"1288_CR42","doi-asserted-by":"crossref","unstructured":"Pan, J., Lin, Z., Su, Z., & Yang, M. H. (2016a). Robust kernel estimation with outliers handling for image deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.306"},{"key":"1288_CR43","doi-asserted-by":"crossref","unstructured":"Pan, J., Sun, D., Pfister, H., & Yang, M. (2016b). Blind image deblurring using dark channel prior. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2016.180"},{"key":"1288_CR44","doi-asserted-by":"crossref","unstructured":"Parkhi, O. M., Vedaldi, A., & Zisserman, A. (2015). Deep face recognition. In British machine vision conference.","DOI":"10.5244\/C.29.41"},{"key":"1288_CR45","unstructured":"Radford, A., Metz, L., & Chintala, S. (2016). Unsupervised representation learning with deep convolutional generative adversarial networks. In International conference on learning representations."},{"issue":"7","key":"1288_CR46","doi-asserted-by":"publisher","first-page":"3426","DOI":"10.1109\/TIP.2016.2571062","volume":"25","author":"W Ren","year":"2016","unstructured":"Ren, W., Cao, X., Pan, J., Guo, X., Zuo, W., & Yang, M. H. (2016a). Image deblurring via enhanced low-rank prior. IEEE Transactions on Image Processing, 25(7), 3426\u20133437.","journal-title":"IEEE Transactions on Image Processing"},{"key":"1288_CR47","doi-asserted-by":"crossref","unstructured":"Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., & Yang, M. H. (2016b). Single image dehazing via multi-scale convolutional neural networks. In European conference on computer vision.","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"1288_CR48","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., & Philbin, J. (2015). FaceNet: A unified embedding for face recognition and clustering. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"1288_CR49","doi-asserted-by":"crossref","unstructured":"Schuler, C. J., Christopher\u00a0Burger, H., Harmeling, S., & Scholkopf, B. (2013). A machine learning approach for non-blind image deconvolution. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2013.142"},{"issue":"7","key":"1288_CR50","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1109\/TPAMI.2015.2481418","volume":"38","author":"CJ Schuler","year":"2016","unstructured":"Schuler, C. J., Hirsch, M., Harmeling, S., & Sch\u00f6lkopf, B. (2016). Learning to deblur. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1439\u20131451.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"3","key":"1288_CR51","first-page":"73:1","volume":"27","author":"Q Shan","year":"2008","unstructured":"Shan, Q., Jia, J., & Agarwala, A. (2008). High-quality motion deblurring from a single image. ACM Transactions on Graphics (Proceedings of SIGGRAPH), 27(3), 73:1\u201373:10.","journal-title":"ACM Transactions on Graphics (Proceedings of SIGGRAPH)"},{"key":"1288_CR52","doi-asserted-by":"crossref","unstructured":"Shen, Z., Lai, W., Xu, T., Kautz, J., & Yang, M. (2018). Deep semantic face deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2018.00862"},{"key":"1288_CR53","doi-asserted-by":"crossref","unstructured":"Sim, T., Baker, S., & Bsat, M. (2002). The CMU pose, illumination, and expression (pie) database. In IEEE international conference on automatic face and gesture recognition.","DOI":"10.1109\/AFGR.2002.1004130"},{"key":"1288_CR54","unstructured":"Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. In International conference on learning representations."},{"key":"1288_CR55","doi-asserted-by":"crossref","unstructured":"Sun, J., Cao, W., Xu, Z., & Ponce, J. (2015). Learning a convolutional neural network for non-uniform motion blur removal. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"1288_CR56","unstructured":"Sun, L., Cho, S., Wang, J., & Hays, J. (2013a). Edge-based blur kernel estimation using patch priors. In IEEE international conference on computational photography."},{"key":"1288_CR57","doi-asserted-by":"crossref","unstructured":"Sun, L., Cho, S., Wang, J., & Hays, J. (2014). Good image priors for non-blind deconvolution. In European conference on computer vision.","DOI":"10.1007\/978-3-319-10593-2_16"},{"key":"1288_CR58","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., & Tang, X. (2013b). Deep convolutional network cascade for facial point detection. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2013.446"},{"key":"1288_CR59","doi-asserted-by":"crossref","unstructured":"Tao, X., Gao, H., Shen, X., Wang, J., & Jia, J. (2018). Scale-recurrent network for deep image deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2018.00853"},{"issue":"6","key":"1288_CR60","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1016\/j.imavis.2009.11.005","volume":"28","author":"CE Thomaz","year":"2010","unstructured":"Thomaz, C. E., & Giraldi, G. A. (2010). A new ranking method for principal components analysis and its application to face image analysis. Image and Vision Computing, 28(6), 902\u2013913.","journal-title":"Image and Vision Computing"},{"key":"1288_CR61","doi-asserted-by":"crossref","unstructured":"Vedaldi, A., & Lenc, K. (2015). MatConvNet: Convolutional neural networks for matlab. In ACM international conference on multimedia.","DOI":"10.1145\/2733373.2807412"},{"key":"1288_CR62","doi-asserted-by":"crossref","unstructured":"Wang, H., Wang, Y., Zhou, Z., Ji, X., Gong, D., Zhou, J., Li, Z., & Liu, W. (2018a). Cosface: Large margin cosine loss for deep face recognition. In IEEE conference on computer vision and pattern recognition (pp. 5265\u20135274).","DOI":"10.1109\/CVPR.2018.00552"},{"key":"1288_CR63","doi-asserted-by":"crossref","unstructured":"Wang, T. C., Liu, M. Y., Zhu, J. Y., Tao, A., Kautz, J., Catanzaro, B. (2018b). High-resolution image synthesis and semantic manipulation with conditional gans. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2018.00917"},{"issue":"2","key":"1288_CR64","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/s11263-011-0502-7","volume":"98","author":"O Whyte","year":"2012","unstructured":"Whyte, O., Sivic, J., Zisserman, A., & Ponce, J. (2012). Non-uniform deblurring for shaken images. International Journal of Computer Vision, 98(2), 168\u2013186.","journal-title":"International Journal of Computer Vision"},{"key":"1288_CR65","doi-asserted-by":"crossref","unstructured":"Xu, L., & Jia, J. (2010). Two-phase kernel estimation for robust motion deblurring. In European conference on computer vision.","DOI":"10.1007\/978-3-642-15549-9_12"},{"key":"1288_CR66","unstructured":"Xu, L., Ren, J. S. J., Liu, C., & Jia, J. (2014). Deep convolutional neural network for image deconvolution. In Neural information processing systems."},{"key":"1288_CR67","doi-asserted-by":"crossref","unstructured":"Xu, L., Zheng, S., & Jia, J. (2013). Unnatural L0 sparse representation for natural image deblurring. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2013.147"},{"issue":"1","key":"1288_CR68","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1109\/TIP.2017.2753658","volume":"27","author":"X Xu","year":"2018","unstructured":"Xu, X., Pan, J., Zhang, Y., & Yang, M. (2018). Motion blur kernel estimation via deep learning. IEEE Transactions on Image Processing, 27(1), 194\u2013205.","journal-title":"IEEE Transactions on Image Processing"},{"key":"1288_CR69","doi-asserted-by":"crossref","unstructured":"Xu, X., Sun, D., Pan, J., Zhang, Y., Pfister, H., & Yang, M. H. (2017). Learning to super-resolve blurry face and text images. In IEEE international conference on computer vision.","DOI":"10.1109\/ICCV.2017.36"},{"key":"1288_CR70","doi-asserted-by":"crossref","unstructured":"Yan, Y., Ren, W., Guo, Y., Wang, R., & Cao, X. (2017). Image deblurring via extreme channels prior. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.738"},{"key":"1288_CR71","doi-asserted-by":"crossref","unstructured":"Zhang, J., Pan, J., Lai, W. S., Lau, R. W. H., & Yang, M. H. (2017). Learning fully convolutional networks for iterative non-blind deconvolution. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2017.737"},{"key":"1288_CR72","doi-asserted-by":"crossref","unstructured":"Zhong, L., Cho, S., Metaxas, D. N., Paris, S., & Wang, J. (2013). Handling noise in single image deblurring using directional filters. In IEEE conference on computer vision and pattern recognition.","DOI":"10.1109\/CVPR.2013.85"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-019-01288-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11263-019-01288-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-019-01288-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T23:10:40Z","timestamp":1617059440000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11263-019-01288-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,30]]},"references-count":72,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["1288"],"URL":"https:\/\/doi.org\/10.1007\/s11263-019-01288-9","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,30]]},"assertion":[{"value":"2 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 March 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}