{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,4]],"date-time":"2025-10-04T08:18:39Z","timestamp":1759565919369,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819785070"},{"type":"electronic","value":"9789819785087"}],"license":[{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"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\/978-981-97-8508-7_24","type":"book-chapter","created":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T06:06:04Z","timestamp":1730527564000},"page":"343-356","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multiview Light Field Angular Super-Resolution Based on\u00a0View Alignment and\u00a0Frequency Attention"],"prefix":"10.1007","author":[{"given":"Deyang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Mao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youzhi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuming","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,3]]},"reference":[{"unstructured":"Raj, A.S., Lowney, M., Shah, R., Wetzstein, G.: Stanford lytro light field archive (2016)","key":"24_CR1"},{"issue":"7","key":"24_CR2","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1109\/MSPEC.1969.5213896","volume":"6","author":"GD Bergland","year":"1969","unstructured":"Bergland, G.D.: A guided tour of the fast Fourier transform. IEEE Spectr. 6(7), 41\u201352 (1969)","journal-title":"IEEE Spectr."},{"key":"24_CR3","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s11263-006-0002-3","volume":"74","author":"M Brown","year":"2007","unstructured":"Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. Int. J. Comput. Vis. 74, 59\u201373 (2007)","journal-title":"Int. J. Comput. Vis."},{"doi-asserted-by":"crossref","unstructured":"Chen, Y., Huang, X., An, P., Wu, Q.: Enhanced light field reconstruction by combining disparity and texture information in PSVS via disparity-guided fusion. IEEE Trans. Comput. Imaging (2023)","key":"24_CR4","DOI":"10.1109\/TCI.2023.3288292"},{"doi-asserted-by":"crossref","unstructured":"Liu, D., Mao, Y., Zhou, X., An, P., Fang, Y.: Learning a multilevel cooperative view reconstruction network for light field angular super-resolution. In: IEEE International Conference on Multimedia and Expo (ICME) (2023)","key":"24_CR5","DOI":"10.1109\/ICME55011.2023.00221"},{"issue":"2","key":"24_CR6","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1109\/TCSVT.2021.3063853","volume":"32","author":"Y Ding","year":"2022","unstructured":"Ding, Y., Li, M., Yan, T., Zhang, F., Liu, Y., Lau, R.W.H.: Rain streak removal from light field images. IEEE Trans. Circuits Syst. Video Technol. 32(2), 467\u2013482 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2021.3063853","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"doi-asserted-by":"publisher","unstructured":"Feng, M., Liu, K., Zhang, L., Yu, H., Wang, Y., Mian, A.: Learning from pixel-level noisy label: a new perspective for light field saliency detection. In: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1746\u20131756 (2022). https:\/\/doi.org\/10.1109\/CVPR52688.2022.00180","key":"24_CR7","DOI":"10.1109\/CVPR52688.2022.00180"},{"issue":"11","key":"24_CR8","first-page":"8022","volume":"44","author":"K Han","year":"2021","unstructured":"Han, K., Xiang, W., Wang, E., Huang, T.: A novel occlusion-aware vote cost for light field depth estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11), 8022\u20138035 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"106897","DOI":"10.1109\/ACCESS.2022.3195279","volume":"10","author":"N He","year":"2022","unstructured":"He, N., Zhang, H., Zhu, C.: Multiview reconstruction using phase retrieval of light field signals. IEEE Access 10, 106897\u2013106908 (2022). https:\/\/doi.org\/10.1109\/ACCESS.2022.3195279","journal-title":"IEEE Access"},{"doi-asserted-by":"crossref","unstructured":"Honauer, K., Johannsen, O., Kondermann, D., Goldluecke, B.: A dataset and evaluation methodology for depth estimation on 4D light fields. In: Computer Vision\u2014ACCV 2016: 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20\u201324, 2016, Revised Selected Papers, Part III 13, pp. 19\u201334. Springer (2017)","key":"24_CR10","DOI":"10.1007\/978-3-319-54187-7_2"},{"issue":"4","key":"24_CR11","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1109\/TPAMI.2020.3026039","volume":"44","author":"J Jin","year":"2020","unstructured":"Jin, J., Hou, J., Chen, J., Zeng, H., Kwong, S., Yu, J.: Deep coarse-to-fine dense light field reconstruction with flexible sampling and geometry-aware fusion. IEEE Trans. Pattern Anal. Mach. Intell. 44(4), 1819\u20131836 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Jin, J., Hou, J., Yuan, H., Kwong, S.: Learning light field angular super-resolution via a geometry-aware network. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 11141\u201311148 (2020)","key":"24_CR12","DOI":"10.1609\/aaai.v34i07.6771"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"1929","DOI":"10.1109\/TIP.2019.2945687","volume":"29","author":"X Jin","year":"2019","unstructured":"Jin, X., Wang, P., Dai, Q.: Parallax tolerant light field stitching for hand-held plenoptic cameras. IEEE Trans. Image Process. 29, 1929\u20131943 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"24_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2980179.2980251","volume":"35","author":"NK Kalantari","year":"2016","unstructured":"Kalantari, N.K., Wang, T.C., Ramamoorthi, R.: Learning-based view synthesis for light field cameras. ACM Trans. Graph. (TOG) 35(6), 1\u201310 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"doi-asserted-by":"crossref","unstructured":"Levoy, M., Hanrahan, P.: Light field rendering. In: Seminal Graphics Papers: Pushing the Boundaries, vol. 2, pp. 441\u2013452 (2023)","key":"24_CR15","DOI":"10.1145\/3596711.3596759"},{"key":"24_CR16","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1109\/TCI.2020.3037413","volume":"6","author":"D Liu","year":"2020","unstructured":"Liu, D., Huang, Y., Wu, Q., Ma, R., An, P.: Multi-angular epipolar geometry based light field angular reconstruction network. IEEE Trans. Comput. Imaging 6, 1507\u20131522 (2020)","journal-title":"IEEE Trans. Comput. Imaging"},{"doi-asserted-by":"crossref","unstructured":"Liu, G., Yue, H., Li, K., Yang, J.: Disparity-guided light field image super-resolution via feature modulation and recalibration. IEEE Trans. Broadcast. (2023)","key":"24_CR17","DOI":"10.1109\/TBC.2023.3284408"},{"doi-asserted-by":"crossref","unstructured":"Liu, G., Yue, H., Wu, J., Yang, J.: Efficient light field angular super-resolution with sub-aperture feature learning and macro-pixel upsampling. IEEE Trans. Multimedia (2022)","key":"24_CR18","DOI":"10.1109\/TMM.2022.3211402"},{"unstructured":"Lytro (2011). https:\/\/www.lytro.com\/","key":"24_CR19"},{"doi-asserted-by":"crossref","unstructured":"Ren, Z., Zhang, Q., Zhu, H., Wang, Q.: Extending the FOV from disparity and color consistencies in multiview light fields. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 1157\u20131161 (2017)","key":"24_CR20","DOI":"10.1109\/ICIP.2017.8296463"},{"doi-asserted-by":"crossref","unstructured":"Shi, J., Jiang, X., Guillemot, C.: Learning fused pixel and feature-based view reconstructions for light fields. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2555\u20132564 (2020)","key":"24_CR21","DOI":"10.1109\/CVPR42600.2020.00263"},{"doi-asserted-by":"crossref","unstructured":"Szeliski, R.: Creating full view panoramic image mosaics and texture-mapped models. In: SIGGRAPH\u201997, pp. 251\u2013258 (1997)","key":"24_CR22","DOI":"10.1145\/258734.258861"},{"doi-asserted-by":"crossref","unstructured":"Wang, X., Chao, W., Duan, F.: Depth optimization for accurate 3D reconstruction from light field images. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 79\u201390 (2023)","key":"24_CR23","DOI":"10.1007\/978-981-99-8432-9_7"},{"issue":"1","key":"24_CR24","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1109\/TPAMI.2022.3152488","volume":"45","author":"Y Wang","year":"2022","unstructured":"Wang, Y., Wang, L., Wu, G., Yang, J., An, W., Yu, J., Guo, Y.: Disentangling light fields for super-resolution and disparity estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1), 425\u2013443 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"unstructured":"Wanner, S., Meister, S., Goldluecke, B.: Datasets and benchmarks for densely sampled 4D light fields. In: VMV, vol.\u00a013, pp. 225\u2013226 (2013)","key":"24_CR25"},{"issue":"7","key":"24_CR26","doi-asserted-by":"publisher","first-page":"3261","DOI":"10.1109\/TIP.2019.2895463","volume":"28","author":"G Wu","year":"2019","unstructured":"Wu, G., Liu, Y., Dai, Q., Chai, T.: Learning sheared EPI structure for light field reconstruction. IEEE Trans. Image Process. 28(7), 3261\u20133273 (2019)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"24_CR27","doi-asserted-by":"publisher","first-page":"1681","DOI":"10.1109\/TPAMI.2018.2845393","volume":"41","author":"G Wu","year":"2018","unstructured":"Wu, G., Liu, Y., Fang, L., Dai, Q., Chai, T.: Light field reconstruction using convolutional network on EPI and extended applications. IEEE Trans. Pattern Anal. Mach. Intell. 41(7), 1681\u20131694 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"7","key":"24_CR28","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/JSTSP.2017.2747126","volume":"11","author":"G Wu","year":"2017","unstructured":"Wu, G., Masia, B., Jarabo, A., Zhang, Y., Wang, L., Dai, Q., Chai, T., Liu, Y.: Light field image processing: an overview. IEEE J. Sel. Top. Signal Process. 11(7), 926\u2013954 (2017)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"24_CR29","doi-asserted-by":"publisher","first-page":"8999","DOI":"10.1109\/TIP.2021.3122089","volume":"30","author":"G Wu","year":"2021","unstructured":"Wu, G., Wang, Y., Liu, Y., Fang, L., Chai, T.: Spatial-angular attention network for light field reconstruction. IEEE Trans. Image Process. 30, 8999\u20139013 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"24_CR30","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1109\/TIP.2023.3234692","volume":"32","author":"T Yan","year":"2023","unstructured":"Yan, T., Li, M., Li, B., Yang, Y., Lau, R.W.H.: Rain removal from light field images with 4d convolution and multi-scale gaussian process. IEEE Trans. Image Process. 32, 921\u2013936 (2023). https:\/\/doi.org\/10.1109\/TIP.2023.3234692","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Yeung, H.W.F., Hou, J., Chen, J., Chung, Y.Y., Chen, X.: Fast light field reconstruction with deep coarse-to-fine modeling of spatial-angular clues. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 137\u2013152 (2018)","key":"24_CR31","DOI":"10.1007\/978-3-030-01231-1_9"},{"doi-asserted-by":"crossref","unstructured":"Zhang, Y., Piao, Y., Ji, X., Zhang, M.: Dynamic fusion network for light field depth estimation. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 3\u201315 (2021)","key":"24_CR32","DOI":"10.1007\/978-3-030-88007-1_1"},{"doi-asserted-by":"crossref","unstructured":"Zhang, Z., Liu, Y., Dai, Q.: Light field from micro-baseline image pair. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3800\u20133809 (2015)","key":"24_CR33","DOI":"10.1109\/CVPR.2015.7299004"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8508-7_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T06:16:36Z","timestamp":1730528196000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8508-7_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,3]]},"ISBN":["9789819785070","9789819785087"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8508-7_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,3]]},"assertion":[{"value":"3 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}