{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T07:37:26Z","timestamp":1769585846112,"version":"3.49.0"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031783111","type":"print"},{"value":"9783031783128","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,4]],"date-time":"2024-12-04T00:00:00Z","timestamp":1733270400000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-78312-8_6","type":"book-chapter","created":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T12:37:20Z","timestamp":1733229440000},"page":"78-96","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Edge-Assisted Mural Image Inpainting Approach Leveraging Aggregated Contextual Transformations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2975-4287","authenticated-orcid":false,"given":"Bojie","family":"Tang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2176-3897","authenticated-orcid":false,"given":"Linxi","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Qing","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Tao","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Xiaolei","family":"Du","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,4]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Fu, J., Chao, H., Guo, B.: Aggregated contextual transformations for high-resolution image inpainting. IEEE Transactions on Visualization and Computer Graphics (2022)","DOI":"10.1109\/TVCG.2022.3156949"},{"key":"6_CR2","unstructured":"Risser, E., Wilmot, P., Barnes, C.: Stable and controllable neural texture synthesis and style transfer using histogram losses. arXiv preprint arXiv:1701.08893 (2017)"},{"key":"6_CR3","unstructured":"Li, L., Zou, Q., Zhang, F., Yu, H., Chen, L., Song, C., Huang, X., Wang, X.: Line drawing guided progressive inpainting of mural damages. arXiv preprint arXiv:2211.06649 (2022)"},{"key":"6_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104125","volume":"108","author":"Y Ma","year":"2021","unstructured":"Ma, Y., Liu, Y., Xie, Q., Xiong, S., Bai, L., Hu, A.: A tibetan thangka data set and relative tasks. Image Vis. Comput. 108, 104125 (2021)","journal-title":"Image Vis. Comput."},{"key":"6_CR5","unstructured":"Poma, X.S., Riba, E., Sappa, A.: Dense extreme inception network: Towards a robust cnn model for edge detection. In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision. pp. 1923\u20131932 (2020)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Transactions on pattern analysis and machine intelligence PAMI-8(6), 679\u2013698 (1986)","DOI":"10.1109\/TPAMI.1986.4767851"},{"issue":"8","key":"6_CR7","doi-asserted-by":"publisher","first-page":"1558","DOI":"10.1109\/TPAMI.2014.2377715","volume":"37","author":"P Doll\u00e1r","year":"2014","unstructured":"Doll\u00e1r, P., Zitnick, C.L.: Fast edge detection using structured forests. IEEE Trans. Pattern Anal. Mach. Intell. 37(8), 1558\u20131570 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Xie, S., Tu, Z.: Holistically-nested edge detection. In: Proceedings of the IEEE international conference on computer vision. pp. 1395\u20131403 (2015)","DOI":"10.1109\/ICCV.2015.164"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention\u2013MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, proceedings, part III 18. pp. 234\u2013241. Springer (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"issue":"8","key":"6_CR10","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1109\/TIP.2003.815261","volume":"12","author":"M Bertalmio","year":"2003","unstructured":"Bertalmio, M., Vese, L., Sapiro, G., Osher, S.: Simultaneous structure and texture image inpainting. IEEE Trans. Image Process. 12(8), 882\u2013889 (2003)","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"6_CR11","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","volume":"13","author":"A Criminisi","year":"2004","unstructured":"Criminisi, A., P\u00e9rez, P., Toyama, K.: Region filling and object removal by exemplar-based image inpainting. IEEE Trans. Image Process. 13(9), 1200\u20131212 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"6_CR12","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/1531326.1531330","volume":"28","author":"C Barnes","year":"2009","unstructured":"Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: Patchmatch: A randomized correspondence algorithm for structural image editing. ACM Trans. Graph. 28(3), 24 (2009)","journal-title":"ACM Trans. Graph."},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., Efros, A.A.: Context encoders: Feature learning by inpainting. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2536\u20132544 (2016)","DOI":"10.1109\/CVPR.2016.278"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F., Ebrahimi, M.: Edgeconnect: Structure guided image inpainting using edge prediction. In: Proceedings of the IEEE\/CVF international conference on computer vision workshops. pp.\u00a00\u20130 (2019)","DOI":"10.1109\/ICCVW.2019.00408"},{"key":"6_CR15","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122 (2015)"},{"key":"6_CR16","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F.Z., Ebrahimi, M.: Edgeconnect: Generative image inpainting with adversarial edge learning. arXiv preprint arXiv:1901.00212 (2019)"},{"issue":"6","key":"6_CR17","doi-asserted-by":"publisher","first-page":"2091","DOI":"10.3390\/s21062091","volume":"21","author":"IM Ciortan","year":"2021","unstructured":"Ciortan, I.M., George, S., Hardeberg, J.Y.: Colour-balanced edge-guided digital inpainting: Applications on artworks. Sensors 21(6), 2091 (2021)","journal-title":"Sensors"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Liu, G., Reda, F.A., Shih, K.J., Wang, T.C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: Proceedings of the European Conference on Computer Vision (ECCV) (September 2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Chen, M., Zhao, X., Xu, D.: Image inpainting for digital dunhuang murals using partial convolutions and sliding window method. In: Journal of Physics: Conference Series. vol.\u00a01302, p. 032040. IOP Publishing (2019)","DOI":"10.1088\/1742-6596\/1302\/3\/032040"},{"key":"6_CR20","doi-asserted-by":"publisher","first-page":"3720","DOI":"10.1109\/TIP.2021.3064268","volume":"30","author":"N Wang","year":"2021","unstructured":"Wang, N., Wang, W., Hu, W., Fenster, A., Li, S.: Thanka mural inpainting based on multi-scale adaptive partial convolution and stroke-like mask. IEEE Trans. Image Process. 30, 3720\u20133733 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"6_CR21","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":"6_CR22","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE international conference on computer vision. pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"},{"issue":"1","key":"6_CR24","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1186\/s40494-023-00972-x","volume":"11","author":"X Deng","year":"2023","unstructured":"Deng, X., Yu, Y.: Ancient mural inpainting via structure information guided two-branch model. Heritage Science 11(1), 131 (2023)","journal-title":"Heritage Science"},{"key":"6_CR25","doi-asserted-by":"crossref","unstructured":"Wang, T.C., Liu, M.Y., Zhu, J.Y., Tao, A., Kautz, J., Catanzaro, B.: High-resolution image synthesis and semantic manipulation with conditional gans. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 8798\u20138807 (2018)","DOI":"10.1109\/CVPR.2018.00917"},{"key":"6_CR26","unstructured":"Miyato, T., Kataoka, T., Koyama, M., Yoshida, Y.: Spectral normalization for generative adversarial networks. arXiv preprint arXiv:1802.05957 (2018)"},{"key":"6_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1007\/978-3-319-46475-6_43","volume-title":"Computer Vision \u2013 ECCV 2016","author":"J Johnson","year":"2016","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual Losses for Real-Time Style Transfer and Super-Resolution. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 694\u2013711. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_43"},{"key":"6_CR28","doi-asserted-by":"crossref","unstructured":"Gatys, L.A., Ecker, A.S., Bethge, M.: Image style transfer using convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 2414\u20132423 (2016)","DOI":"10.1109\/CVPR.2016.265"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Mao, X., Li, Q., Xie, H., Lau, R.Y., Wang, Z., Paul\u00a0Smolley, S.: Least squares generative adversarial networks. In: Proceedings of the IEEE international conference on computer vision. pp. 2794\u20132802 (2017)","DOI":"10.1109\/ICCV.2017.304"},{"key":"6_CR30","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"6_CR31","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 5505\u20135514 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"6_CR32","unstructured":"Kinga, D., Adam, J.B., et\u00a0al.: A method for stochastic optimization. In: International conference on learning representations (ICLR). vol.\u00a05, p.\u00a06. San Diego, California; (2015)"},{"key":"6_CR33","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Free-form image inpainting with gated convolution. In: Proceedings of the IEEE\/CVF international conference on computer vision. pp. 4471\u20134480 (2019)","DOI":"10.1109\/ICCV.2019.00457"},{"key":"6_CR34","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, N., Zhang, L., Du, B., Tao, D.: Recurrent feature reasoning for image inpainting. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. pp. 7760\u20137768 (2020)","DOI":"10.1109\/CVPR42600.2020.00778"},{"key":"6_CR35","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Wang, X., Tang, X.: Deep learning face attributes in the wild. In: Proceedings of the IEEE international conference on computer vision. pp. 3730\u20133738 (2015)","DOI":"10.1109\/ICCV.2015.425"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78312-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T13:04:48Z","timestamp":1733231088000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78312-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,4]]},"ISBN":["9783031783111","9783031783128"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78312-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,4]]},"assertion":[{"value":"4 December 2024","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":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}