{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T06:03:42Z","timestamp":1740117822152,"version":"3.37.3"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2018M641648"],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61701341","61572356","61802277"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1016\/j.neucom.2019.04.011","type":"journal-article","created":{"date-parts":[[2019,4,10]],"date-time":"2019-04-10T11:18:36Z","timestamp":1554895116000},"page":"200-211","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":30,"special_numbering":"C","title":["Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network"],"prefix":"10.1016","volume":"347","author":[{"given":"Yuting","family":"Su","sequence":"first","affiliation":[]},{"given":"Wanning","family":"Sun","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4690-1886","authenticated-orcid":false,"given":"Jing","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8165-9322","authenticated-orcid":false,"given":"Guangtao","family":"Zhai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2648-7358","authenticated-orcid":false,"given":"Peiguang","family":"Jing","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2019.04.011_bib0001","series-title":"Proceedings of the IEEE International Conference on Multimedia and Expo","first-page":"170","article-title":"From 2D extrapolation to 1D interpolation: content adaptive image bit-depth expansion","author":"Wan","year":"2012"},{"issue":"6","key":"10.1016\/j.neucom.2019.04.011_bib0002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3130800.3130834","article-title":"Deep reverse tone mapping","volume":"36","author":"Endo","year":"2017","journal-title":"ACM Trans. Gr."},{"issue":"6","key":"10.1016\/j.neucom.2019.04.011_bib0003","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3130800.3130816","article-title":"HDR image reconstruction from a single exposure using deep CNNs","volume":"36","author":"Eilertsen","year":"2017","journal-title":"ACM Trans. Gr."},{"issue":"3","key":"10.1016\/j.neucom.2019.04.011_bib0004","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1145\/1276377.1276426","article-title":"Ldr2Hdr:on-the-fly reverse tone mapping of legacy video and photographs","volume":"26","author":"Rempel","year":"2007","journal-title":"ACM Trans. Gr."},{"key":"10.1016\/j.neucom.2019.04.011_bib0005","series-title":"Proceedings of the SPIE, Color Imaging: Device Independent Color","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1117\/12.298285","article-title":"Pixel bit-depth increase by bit replication","volume":"3300","author":"Ulichney","year":"1998"},{"key":"10.1016\/j.neucom.2019.04.011_bib0006","series-title":"Proceedings of the IEEE Conference on Visual Communications and Image Processing","first-page":"1","article-title":"Bit-depth expansion using minimum risk based classification","author":"Mittal","year":"2012"},{"key":"10.1016\/j.neucom.2019.04.011_bib0007","series-title":"Proceedings of the International Symposium on Circuits and Systems","first-page":"944","article-title":"Bit-depth expansion by contour region reconstruction","author":"Cheng","year":"2009"},{"issue":"10","key":"10.1016\/j.neucom.2019.04.011_bib0008","doi-asserted-by":"crossref","first-page":"4860","DOI":"10.1109\/TIP.2018.2803306","article-title":"IPAD: intensity potential for adaptive de-quantization","volume":"27","author":"Liu","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2019.04.011_bib0009","series-title":"Proceedings of the European Conference on Computer Vision","first-page":"694","article-title":"Perceptual losses for real-time style transfer and super-resolution","author":"Johnson","year":"2016"},{"key":"10.1016\/j.neucom.2019.04.011_bib0010","unstructured":"K. Simonyan, A. Zisserman, Very deep convolutional networks for large-scale image recognition, arXiv:1409.1556 (2014)."},{"issue":"6","key":"10.1016\/j.neucom.2019.04.011_bib0011","doi-asserted-by":"crossref","first-page":"2896","DOI":"10.1109\/TIP.2016.2553523","article-title":"Image bit-depth enhancement via maximum a posteriori estimation of AC signal","volume":"25","author":"Wan","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2019.04.011_bib0012","series-title":"Accepted by Digital TV and Wireless Multimedia Communication","first-page":"1","article-title":"Bit-depth enhancement via convolutional neural network","author":"Liu","year":"2017"},{"key":"10.1016\/j.neucom.2019.04.011_bib0013","series-title":"Proceedings of the IEEE International Conference on Multimedia and Expo (ICME)","first-page":"1207","article-title":"IPAD: Intensity potential for adaptive de-quantization","author":"Liu","year":"2017"},{"key":"10.1016\/j.neucom.2019.04.011_bib0014","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"722","article-title":"A-lamp: adaptive layout-aware multi-patch deep convolutional neural network for photo aesthetic assessment","author":"Ma","year":"2017"},{"key":"10.1016\/j.neucom.2019.04.011_bib0015","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"1","key":"10.1016\/j.neucom.2019.04.011_bib0016","first-page":"60","article-title":"Building feature space of extreme learning machine with sparse denoising stacked-autoencoder","volume":"174","author":"Huang","year":"2016","journal-title":"Neurocomputing"},{"issue":"1","key":"10.1016\/j.neucom.2019.04.011_bib0017","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.neucom.2016.02.046","article-title":"Incorporating image priors with deep convolutional neural networks for image super-resolution","volume":"194","author":"Liang","year":"2016","journal-title":"Neurocomputing"},{"issue":"1","key":"10.1016\/j.neucom.2019.04.011_bib0018","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.neucom.2015.12.125","article-title":"Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model","volume":"208","author":"Duan","year":"2016","journal-title":"Neurocomputing"},{"issue":"1","key":"10.1016\/j.neucom.2019.04.011_bib0019","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.neucom.2016.11.062","article-title":"Learning 3D faces from 2D images via stacked contractive autoencoder","volume":"257","author":"Zhang","year":"2017","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2019.04.011_bib0020","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"10.1016\/j.neucom.2019.04.011_bib0021","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"Nair","year":"2010"},{"key":"10.1016\/j.neucom.2019.04.011_bib0022","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4681","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"Ledig","year":"2016"},{"key":"10.1016\/j.neucom.2019.04.011_bib0023","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"2528","article-title":"Deconvolutional networks","author":"Zeiler","year":"2010"},{"key":"10.1016\/j.neucom.2019.04.011_bib0024","unstructured":"V. Dumoulin, F. Visin, A guide to convolution arithmetic for deep learning, arXiv:1603.07285(2016)."},{"issue":"1","key":"10.1016\/j.neucom.2019.04.011_bib0025","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.neucom.2018.02.092","article-title":"Semantic invariant cross-domain image generation with generative adversarial networks","volume":"293","author":"Mao","year":"2018","journal-title":"Neurocomputing"},{"issue":"3","key":"10.1016\/j.neucom.2019.04.011_bib0026","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"ImageNet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"10.1016\/j.neucom.2019.04.011_bib0027","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2019.04.011_bib0028","unstructured":"X. Foundation, Xiph.Org, 2016, https:\/\/www.xiph.org\/. [Online; accessed 16-May-2017]."},{"key":"10.1016\/j.neucom.2019.04.011_bib0029","series-title":"Proceedings of the International Conference on Machine Learning","first-page":"1","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"Maas","year":"2013"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231219305272?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231219305272?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T01:39:38Z","timestamp":1565141978000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231219305272"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":29,"alternative-id":["S0925231219305272"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2019.04.011","relation":{},"ISSN":["0925-2312"],"issn-type":[{"type":"print","value":"0925-2312"}],"subject":[],"published":{"date-parts":[[2019,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2019.04.011","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}