{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:40Z","timestamp":1742914120924,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031377419"},{"type":"electronic","value":"9783031377426"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-37742-6_40","type":"book-chapter","created":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T06:02:51Z","timestamp":1690869771000},"page":"519-528","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Linear Blur Direction Estimation Using a\u00a0Convolutional Neural Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7844-4627","authenticated-orcid":false,"given":"Andrey","family":"Nasonov","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandra","family":"Nasonova","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,2]]},"reference":[{"issue":"3","key":"40_CR1","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1134\/S1054661822030270","volume":"22","author":"AV Nasonov","year":"2022","unstructured":"Nasonov, A.V., Nasonova, A.A.: Linear blur parameters estimation using a convolutional neural network. Pattern Recognit Image Anal. 22(3), 611\u2013615 (2022)","journal-title":"Pattern Recognit Image Anal."},{"key":"40_CR2","unstructured":"Carbajal, G., Vitoria, P., Delbracio, M., Mus\u00e9, P., Lezama, J.: Non-uniform blur kernel estimation via adaptive basis decomposition. arXiv preprint arXiv:2102.01026 (2021)"},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Chakrabarti, A.: A neural approach to blind motion deblurring. In: European Conference on Computer Vision, pp. 221\u2013235 (2016)","DOI":"10.1007\/978-3-319-46487-9_14"},{"key":"40_CR4","doi-asserted-by":"crossref","unstructured":"Gong, D., et al.: From motion blur to motion flow: A deep learning solution for removing heterogeneous motion blur. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2319\u20132328 (2017)","DOI":"10.1109\/CVPR.2017.405"},{"key":"40_CR5","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1109\/TIP.2020.3036745","volume":"30","author":"C Gu","year":"2020","unstructured":"Gu, C., Lu, X., He, Y., Zhang, C.: Blur removal via blurred-noisy image pair. IEEE Trans. Image Process. 30, 345\u2013359 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"40_CR6","doi-asserted-by":"publisher","first-page":"4041","DOI":"10.1109\/TIP.2020.2967829","volume":"29","author":"V Hosu","year":"2020","unstructured":"Hosu, V., Lin, H., Sziranyi, T., Saupe, D.: Koniq-10k: an ecologically valid database for deep learning of blind image quality assessment. IEEE Trans. Image Process. 29, 4041\u20134056 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Nah, S., Hyun Kim, T., Mu Lee, K.: Deep multi-scale convolutional neural network for dynamic scene deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3883\u20133891 (2017)","DOI":"10.1109\/CVPR.2017.35"},{"key":"40_CR8","doi-asserted-by":"crossref","unstructured":"Sun, J., Cao, W., Xu, Z., Ponce, J.: Learning a convolutional neural network for non-uniform motion blur removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 769\u2013777 (2015)","DOI":"10.1109\/CVPR.2015.7298677"},{"issue":"4","key":"40_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3323024","volume":"38","author":"B Wronski","year":"2019","unstructured":"Wronski, B., et al.: Handheld multi-frame super-resolution. ACM Trans. Graph. (TOG) 38(4), 1\u201318 (2019)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"1","key":"40_CR10","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1109\/TIP.2017.2753658","volume":"27","author":"X Xu","year":"2017","unstructured":"Xu, X., Pan, J., Zhang, Y.J., Yang, M.H.: Motion blur kernel estimation via deep learning. IEEE Trans. Image Process. 27(1), 194\u2013205 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"40_CR11","volume":"90","author":"Z Xu","year":"2021","unstructured":"Xu, Z., Chen, H., Li, Z.: Fast blind deconvolution using a deeper sparse patch-wise maximum gradient prior. Signal Process.: Image Commun. 90, 116050 (2021)","journal-title":"Signal Process.: Image Commun."},{"key":"40_CR12","unstructured":"Zhang, K., et al.: Deep image deblurring: A survey. International Journal of Computer Vision, pp. 1\u201328 (2022)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-37742-6_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T06:07:19Z","timestamp":1690870039000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-37742-6_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031377419","9783031377426"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-37742-6_40","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montr\u00e9al, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iapr.org\/icpr2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}