{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T02:21:43Z","timestamp":1766197303243,"version":"build-2065373602"},"reference-count":9,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2024,1,1]]},"DOI":"10.1587\/transinf.2023edl8051","type":"journal-article","created":{"date-parts":[[2023,12,31]],"date-time":"2023-12-31T22:39:12Z","timestamp":1704062352000},"page":"157-160","source":"Crossref","is-referenced-by-count":4,"title":["Lightweight and Fast Low-Light Image Enhancement Method Based on PoolFormer"],"prefix":"10.1587","volume":"E107.D","author":[{"given":"Xin","family":"HU","sequence":"first","affiliation":[{"name":"Smart City College, Beijing Union University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhua","family":"WANG","sequence":"additional","affiliation":[{"name":"Smart City College, Beijing Union University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunhan","family":"XU","sequence":"additional","affiliation":[{"name":"Smart City College, Beijing Union University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"publisher","unstructured":"[1] T. Wang, K. Zhang, T. Shen, W. Luo, B. Stenger, and T. Lu, \u201cUltra-high-definition low-light image enhancement: A benchmark and transformer-based method,\u201d Proc. AAAI Conference on Artificial Intelligence, vol.37, no.3, pp.2654-2662, 2023. 10.1609\/aaai.v37i3.25364","DOI":"10.1609\/aaai.v37i3.25364"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] W. Yu, M. Luo, P. Zhou, C. Si, Y. Zhou, X. Wang, J. Feng, and S. Yan, \u201cMetaformer is actually what you need for vision,\u201d International Conference on Computer Vision and Pattern Recognition, pp.10819-10829, 2022. 10.1109\/cvpr52688.2022.01055","DOI":"10.1109\/CVPR52688.2022.01055"},{"key":"3","unstructured":"[3] A. Dosovitskiy, L. Beyer, A. Kolesnikov, et al., \u201cAn image is worth 16x16 words: Transformers for image recognition at scale,\u201d International Conference on Learning Representations, 2021. 10.48550\/arXiv.2010.11929"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] J. Liang, J. Cao, G. Sun, K. Zhang, L. Van Gool, and R. Timofte, \u201cSwinir: Image restoration using swin transformer,\u201d Int. Conf. Computer Vision, pp.1833-1844, 2021. 10.1109\/iccvw54120.2021.00210","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, \u201cSwin transformer: Hierarchical vision transformer using shifted windows,\u201d Int. Conf. Computer Vision, pp.10012-10022, 2021. 10.1109\/iccv48922.2021.00986","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] Z. Zhang, Y. Jiang, J. Jiang, X. Wang, P. Luo, and J. Gu, \u201cStar: A structure-aware lightweight transformer for real-time image enhancement,\u201d Int. Conf. Computer Vision, pp.4106-4115, 2021. 10.1109\/iccv48922.2021.00407","DOI":"10.1109\/ICCV48922.2021.00407"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] Z. Wang, X. Cun, J. Bao, W. Zhou, J. Liu, and H. Li, \u201cUformer: A general u-shaped transformer for image restoration,\u201d International Conference on Computer Vision and Pattern Recognition, pp.17683-17693, 2022. 10.1109\/cvpr52688.2022.01716","DOI":"10.1109\/CVPR52688.2022.01716"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] S.W. Zamir, A. Arora, S. Khan, M. Hayat, F.S. Khan, and M.-H. Yang, \u201cRestormer: Efficient transformer for high-resolution image restoration,\u201d International Conference on Computer Vision and Pattern Recognition, pp.5728-5739, 2022. 10.1109\/cvpr52688.2022.00564","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] R. Zhang, P. Isola, A.A. Efros, E. Shechtman, and O. Wang, \u201cThe unreasonable effectiveness of deep features as a perceptual metric,\u201d International Conference on Computer Vision and Pattern Recognition, pp.586-595, 2018. 10.1109\/cvpr.2018.00068","DOI":"10.1109\/CVPR.2018.00068"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/1\/E107.D_2023EDL8051\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T04:14:12Z","timestamp":1704514452000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E107.D\/1\/E107.D_2023EDL8051\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,1]]},"references-count":9,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2023edl8051","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2024,1,1]]},"article-number":"2023EDL8051"}}