{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T08:05:11Z","timestamp":1784534711272,"version":"3.55.0"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372018"],"award-info":[{"award-number":["62372018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272016"],"award-info":[{"award-number":["62272016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Visual Communication and Image Representation"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jvcir.2026.104863","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T18:03:42Z","timestamp":1781201022000},"page":"104863","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Enhancing learned image compression through side information autoregression"],"prefix":"10.1016","volume":"119","author":[{"given":"Huanjie","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunhui","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiahui","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiuzhen","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5741-7937","authenticated-orcid":false,"given":"Nam","family":"Ling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jvcir.2026.104863_b1","series-title":"End-to-end optimized image compression","author":"Ball\u00e9","year":"2017"},{"key":"10.1016\/j.jvcir.2026.104863_b2","series-title":"Variational image compression with a scale hyperprior","author":"Ball\u00e9","year":"2018"},{"key":"10.1016\/j.jvcir.2026.104863_b3","doi-asserted-by":"crossref","unstructured":"M. Li, W. Zuo, S. Gu, D. Zhao, D. Zhang, Learning Convolutional Networks for Content-Weighted Image Compression, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2018.","DOI":"10.1109\/CVPR.2018.00339"},{"key":"10.1016\/j.jvcir.2026.104863_b4","article-title":"Joint autoregressive and hierarchical priors for learned image compression","volume":"vol. 31","author":"Minnen","year":"2018"},{"key":"10.1016\/j.jvcir.2026.104863_b5","first-page":"11013","article-title":"Coarse-to-fine hyper-prior modeling for learned image compression","volume":"vol. 34","author":"Hu","year":"2020"},{"issue":"3","key":"10.1016\/j.jvcir.2026.104863_b6","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1109\/TPAMI.2020.3026003","article-title":"End-to-end optimized versatile image compression with wavelet-like transform","volume":"44","author":"Ma","year":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.jvcir.2026.104863_b7","series-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104863_b8","series-title":"2020 IEEE International Conference on Image Processing","first-page":"3339","article-title":"Channel-wise autoregressive entropy models for learned image compression","author":"Minnen","year":"2020"},{"key":"10.1016\/j.jvcir.2026.104863_b9","doi-asserted-by":"crossref","unstructured":"Z. Cheng, H. Sun, M. Takeuchi, J. Katto, Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2020.","DOI":"10.1109\/CVPR42600.2020.00796"},{"key":"10.1016\/j.jvcir.2026.104863_b10","doi-asserted-by":"crossref","unstructured":"G. Gao, P. You, R. Pan, S. Han, Y. Zhang, Y. Dai, H. Lee, Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, ICCV, 2021, pp. 14677\u201314686.","DOI":"10.1109\/ICCV48922.2021.01441"},{"key":"10.1016\/j.jvcir.2026.104863_b11","doi-asserted-by":"crossref","unstructured":"R. Zou, C. Song, Z. Zhang, The Devil Is in the Details: Window-Based Attention for Image Compression, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 17492\u201317501.","DOI":"10.1109\/CVPR52688.2022.01697"},{"key":"10.1016\/j.jvcir.2026.104863_b12","first-page":"3922","article-title":"Two-stage octave residual network for end-to-end image compression","volume":"vol. 36","author":"Chen","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104863_b13","doi-asserted-by":"crossref","unstructured":"D. He, Z. Yang, W. Peng, R. Ma, H. Qin, Y. Wang, ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 5718\u20135727.","DOI":"10.1109\/CVPR52688.2022.00563"},{"key":"10.1016\/j.jvcir.2026.104863_b14","series-title":"Proceedings of the 31st ACM International Conference on Multimedia","first-page":"7618","article-title":"MLIC: Multi-reference entropy model for learned image compression","author":"Jiang","year":"2023"},{"key":"10.1016\/j.jvcir.2026.104863_b15","series-title":"Frequency-aware transformer for learned image compression","author":"Li","year":"2024"},{"issue":"10","key":"10.1016\/j.jvcir.2026.104863_b16","doi-asserted-by":"crossref","first-page":"9606","DOI":"10.1109\/TCSVT.2024.3395481","article-title":"GroupedMixer: An entropy model with group-wise token-mixers for learned image compression","volume":"34","author":"Li","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"10.1016\/j.jvcir.2026.104863_b17","doi-asserted-by":"crossref","DOI":"10.1145\/3719011","article-title":"MLIC++: Linear complexity multi-reference entropy modeling for learned image compression","volume":"21","author":"Jiang","year":"2025","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"issue":"4","key":"10.1016\/j.jvcir.2026.104863_b18","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1145\/103085.103089","article-title":"The JPEG still picture compression standard","volume":"34","author":"Wallace","year":"1991","journal-title":"Commun. ACM"},{"issue":"9","key":"10.1016\/j.jvcir.2026.104863_b19","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1109\/TCSVT.2007.905532","article-title":"Overview of the scalable video coding extension of the H.264\/AVC standard","volume":"17","author":"Schwarz","year":"2007","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"12","key":"10.1016\/j.jvcir.2026.104863_b20","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TCSVT.2012.2221191","article-title":"Overview of the high efficiency video coding (HEVC) standard","volume":"22","author":"Sullivan","year":"2012","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"10","key":"10.1016\/j.jvcir.2026.104863_b21","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TCSVT.2021.3101953","article-title":"Overview of the versatile video coding (VVC) standard and its applications","volume":"31","author":"Bross","year":"2021","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.jvcir.2026.104863_b22","series-title":"Computer Vision \u2013 ECCV 2022","first-page":"447","article-title":"Contextformer: A transformer with spatio-channel attention for context modeling in learned image compression","author":"Koyuncu","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104863_b23","doi-asserted-by":"crossref","unstructured":"J. Liu, H. Sun, J. Katto, Learned Image Compression With Mixed Transformer-CNN Architectures, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 14388\u201314397.","DOI":"10.1109\/CVPR52729.2023.01383"},{"key":"10.1016\/j.jvcir.2026.104863_b24","doi-asserted-by":"crossref","unstructured":"D. He, Y. Zheng, B. Sun, Y. Wang, H. Qin, Checkerboard Context Model for Efficient Learned Image Compression, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2021, pp. 14771\u201314780.","DOI":"10.1109\/CVPR46437.2021.01453"},{"key":"10.1016\/j.jvcir.2026.104863_b25","series-title":"Entroformer: A transformer-based entropy model for learned image compression","author":"Qian","year":"2022"},{"key":"10.1016\/j.jvcir.2026.104863_b26","series-title":"Density modeling of images using a generalized normalization transformation","author":"Ball\u00e9","year":"2016"},{"key":"10.1016\/j.jvcir.2026.104863_b27","doi-asserted-by":"crossref","unstructured":"J.-H. Kim, B. Heo, J.-S. Lee, Joint Global and Local Hierarchical Priors for Learned Image Compression, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 5992\u20136001.","DOI":"10.1109\/CVPR52688.2022.00590"},{"key":"10.1016\/j.jvcir.2026.104863_b28","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"vol. 32","author":"Paszke","year":"2019"},{"key":"10.1016\/j.jvcir.2026.104863_b29","series-title":"CompressAI: a PyTorch library and evaluation platform for end-to-end compression research","author":"B\u00e9gaint","year":"2020"},{"key":"10.1016\/j.jvcir.2026.104863_b30","series-title":"OpenImages: A public dataset for large-scale multi-label and multi-class image classification","author":"Krasin","year":"2017"},{"key":"10.1016\/j.jvcir.2026.104863_b31","series-title":"2009 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"Deng","year":"2009"},{"key":"10.1016\/j.jvcir.2026.104863_b32","series-title":"Computer Vision \u2013 ECCV 2014","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"Lin","year":"2014"},{"key":"10.1016\/j.jvcir.2026.104863_b33","doi-asserted-by":"crossref","unstructured":"E. Agustsson, R. Timofte, NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017.","DOI":"10.1109\/CVPRW.2017.150"},{"key":"10.1016\/j.jvcir.2026.104863_b34","doi-asserted-by":"crossref","unstructured":"B. Lim, S. Son, H. Kim, S. Nah, K. Mu Lee, Enhanced Deep Residual Networks for Single Image Super-Resolution, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2017.","DOI":"10.1109\/CVPRW.2017.151"},{"key":"10.1016\/j.jvcir.2026.104863_b35","series-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"10.1016\/j.jvcir.2026.104863_b36","first-page":"1398","article-title":"Multiscale structural similarity for image quality assessment","volume":"vol. 2","author":"Wang","year":"2003"}],"container-title":["Journal of Visual Communication and Image Representation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001586?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1047320326001586?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T07:28:28Z","timestamp":1784532508000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1047320326001586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":36,"alternative-id":["S1047320326001586"],"URL":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104863","relation":{},"ISSN":["1047-3203"],"issn-type":[{"value":"1047-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhancing learned image compression through side information autoregression","name":"articletitle","label":"Article Title"},{"value":"Journal of Visual Communication and Image Representation","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jvcir.2026.104863","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"104863"}}