{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T14:11:16Z","timestamp":1780323076480,"version":"3.54.1"},"reference-count":55,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"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":["61871283"],"award-info":[{"award-number":["61871283"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1016\/j.sigpro.2022.108782","type":"journal-article","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T07:18:18Z","timestamp":1662967098000},"page":"108782","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":21,"special_numbering":"C","title":["No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness"],"prefix":"10.1016","volume":"203","author":[{"given":"Yang","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4058-8120","authenticated-orcid":false,"given":"Shuai","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2558-552X","authenticated-orcid":false,"given":"Jiachen","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1443-0776","authenticated-orcid":false,"given":"Xinbo","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.sigpro.2022.108782_bib0001","first-page":"1","article-title":"Quantitative measurement of perceptual attributes and artifacts for tone-mapped HDR display","volume":"71","author":"Jiang","year":"2022","journal-title":"IEEE Trans Instrum Meas"},{"key":"10.1016\/j.sigpro.2022.108782_bib0002","doi-asserted-by":"crossref","first-page":"955","DOI":"10.1109\/TMM.2020.2991528","article-title":"Blind quality assessment for tone-mapped images by analysis of gradient and chromatic statistics","volume":"23","author":"Fang","year":"2021","journal-title":"IEEE Trans Multimedia"},{"key":"10.1016\/j.sigpro.2022.108782_bib0003","doi-asserted-by":"crossref","first-page":"116595","DOI":"10.1016\/j.image.2021.116595","article-title":"Tone mapping high dynamic range images based on region-adaptive self-supervised deep learning","volume":"102","author":"Zhou","year":"2022","journal-title":"Signal Process. Image Commun."},{"key":"10.1016\/j.sigpro.2022.108782_bib0004","series-title":"2019 IEEE International Conference on Image Processing (ICIP)","first-page":"3202","article-title":"A novel no-reference quality assessment model of tone-mapped HDR image","author":"Zhao","year":"2019"},{"issue":"4","key":"10.1016\/j.sigpro.2022.108782_bib0005","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1109\/TCE.2021.3130176","article-title":"Blind quality evaluator of tone-mapped HDR and multi-exposure fused images for electronic display","volume":"67","author":"Jiang","year":"2021","journal-title":"IEEE Trans. Consum. Electron."},{"key":"10.1016\/j.sigpro.2022.108782_bib0006","doi-asserted-by":"crossref","first-page":"107791","DOI":"10.1016\/j.sigpro.2020.107791","article-title":"Multi-exposure image fusion based on linear embeddings and watershed masking","volume":"178","author":"Ulucan","year":"2021","journal-title":"Signal Processing"},{"key":"10.1016\/j.sigpro.2022.108782_bib0007","series-title":"2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP)","first-page":"1","article-title":"Reliability of crowdsourcing for subjective quality evaluation of tone mapping operators","author":"Goswami","year":"2021"},{"issue":"10","key":"10.1016\/j.sigpro.2022.108782_bib0008","doi-asserted-by":"crossref","first-page":"4725","DOI":"10.1109\/TIP.2017.2713945","article-title":"Large-scale crowdsourced study for tone-mapped HDR pictures","volume":"26","author":"Kundu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2022.108782_bib0009","doi-asserted-by":"crossref","first-page":"102188","DOI":"10.1016\/j.displa.2022.102188","article-title":"Quality assessment of multi-exposure image fusion by synthesizing local and global intermediate references","volume":"74","author":"Xu","year":"2022","journal-title":"Displays"},{"issue":"8","key":"10.1016\/j.sigpro.2022.108782_bib0010","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1109\/LSP.2014.2381458","article-title":"FSITM: A feature similarity index for tone-mapped images","volume":"22","author":"Nafchi","year":"2015","journal-title":"IEEE Signal Process Lett"},{"issue":"12","key":"10.1016\/j.sigpro.2022.108782_bib0011","doi-asserted-by":"crossref","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","article-title":"No-reference image quality assessment in the spatial domain","volume":"21","author":"Mittal","year":"2012","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"10.1016\/j.sigpro.2022.108782_bib0012","doi-asserted-by":"crossref","first-page":"1939","DOI":"10.1109\/TMM.2019.2950570","article-title":"A multi-attribute blind quality evaluator for tone-mapped images","volume":"22","author":"Mahmoudpour","year":"2020","journal-title":"IEEE Trans Multimedia"},{"key":"10.1016\/j.sigpro.2022.108782_bib0013","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1109\/TMM.2020.2986583","article-title":"Exploiting local degradation characteristics and global statistical properties for blind quality assessment of tone-mapped hdr images","volume":"23","author":"Wang","year":"2021","journal-title":"IEEE Trans Multimedia"},{"issue":"10","key":"10.1016\/j.sigpro.2022.108782_bib0014","doi-asserted-by":"crossref","first-page":"3608","DOI":"10.1109\/TCSVT.2019.2948383","article-title":"No-reference quality assessment of stereoscopic videos with inter-frame cross on a content-rich database","volume":"30","author":"Yang","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"10.1016\/j.sigpro.2022.108782_bib0015","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1109\/LSP.2016.2537321","article-title":"No-reference quality assessment for multiply-distorted images in gradient domain","volume":"23","author":"Li","year":"2016","journal-title":"IEEE Signal Process Lett"},{"issue":"8","key":"10.1016\/j.sigpro.2022.108782_bib0016","doi-asserted-by":"crossref","first-page":"3339","DOI":"10.1109\/TIP.2012.2191563","article-title":"Blind image quality assessment: a natural scene statistics approach in the DCT domain","volume":"21","author":"Saad","year":"2012","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.sigpro.2022.108782_bib0017","doi-asserted-by":"crossref","first-page":"3350","DOI":"10.1109\/TIP.2011.2147325","article-title":"Blind image quality assessment: from natural scene statistics to perceptual quality","volume":"20","author":"Moorthy","year":"2011","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"10.1016\/j.sigpro.2022.108782_bib0018","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.image.2014.02.004","article-title":"No-reference image quality assessment in curvelet domain","volume":"29","author":"Liu","year":"2014","journal-title":"Signal Process. Image Commun."},{"issue":"3","key":"10.1016\/j.sigpro.2022.108782_bib0019","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1109\/TMM.2016.2518868","article-title":"Blind quality assessment of tone-mapped images via analysis of information, naturalness, and structure","volume":"18","author":"Gu","year":"2016","journal-title":"IEEE Trans Multimedia"},{"issue":"6","key":"10.1016\/j.sigpro.2022.108782_bib0020","doi-asserted-by":"crossref","first-page":"2957","DOI":"10.1109\/TIP.2017.2685941","article-title":"No-reference quality assessment of tone-mapped HDR pictures","volume":"26","author":"Kundu","year":"2017","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.sigpro.2022.108782_bib0021","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/TCE.2020.2985742","article-title":"Tone-mapped image quality assessment for electronics displays by combining luminance partition and colorfulness index","volume":"66","author":"Jiang","year":"2020","journal-title":"IEEE Trans. Consum. Electron."},{"issue":"3","key":"10.1016\/j.sigpro.2022.108782_bib0022","doi-asserted-by":"crossref","first-page":"2525","DOI":"10.1109\/TIE.2017.2739708","article-title":"Biologically inspired blind quality assessment of tone-mapped images","volume":"65","author":"Yue","year":"2018","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"2","key":"10.1016\/j.sigpro.2022.108782_bib0023","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1109\/TCSVT.2017.2783938","article-title":"BLIQUE-TMI: blind quality evaluator for tone-mapped images based on local and global feature analyses","volume":"29","author":"Jiang","year":"2019","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.sigpro.2022.108782_bib0024","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.ins.2020.03.067","article-title":"Blind quality assessment for tone-mapped images based on local and global features","volume":"528","author":"Liu","year":"2020","journal-title":"Inf Sci (Ny)"},{"issue":"7","key":"10.1016\/j.sigpro.2022.108782_bib0025","first-page":"838","article-title":"No-reference quality assessment of contrast-distorted images based on natural scene statistics","volume":"22","author":"Fang","year":"2015","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"10.1016\/j.sigpro.2022.108782_bib0026","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/TIP.2012.2221725","article-title":"Objective quality assessment of tone-mapped images","volume":"22","author":"Yeganeh","year":"2013","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2022.108782_bib0027","series-title":"NIP & Digital Fabrication Conference","first-page":"540","article-title":"Cie fundamentals for color measurements","volume":"volume 2000","author":"Ohno","year":"2000"},{"key":"10.1016\/j.sigpro.2022.108782_bib0028","doi-asserted-by":"crossref","first-page":"5612","DOI":"10.1109\/TIP.2020.2984879","article-title":"No-reference video quality assessment using natural spatiotemporal scene statistics","volume":"29","author":"Reddy Dendi","year":"2020","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"10.1016\/j.sigpro.2022.108782_bib0029","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1109\/83.784434","article-title":"Demosaicing: image reconstruction from color ccd samples","volume":"8","author":"Kimmel","year":"1999","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2022.108782_bib0030","series-title":"2009 16th IEEE International Conference on Image Processing (ICIP)","first-page":"2281","article-title":"Multiscale skewed heavy tailed model for texture analysis","author":"Lasmar","year":"2009"},{"issue":"7","key":"10.1016\/j.sigpro.2022.108782_bib0031","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1016\/j.cag.2013.07.001","article-title":"Spatially varying image based lighting using hdr-video","volume":"37","author":"Unger","year":"2013","journal-title":"Computers & Graphics"},{"issue":"4","key":"10.1016\/j.sigpro.2022.108782_bib0032","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1109\/TMM.2016.2522639","article-title":"Human visual system-based saliency detection for high dynamic range content","volume":"18","author":"Dong","year":"2016","journal-title":"IEEE Trans Multimedia"},{"key":"10.1016\/j.sigpro.2022.108782_bib0033","series-title":"Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1155","article-title":"Hierarchical saliency detection","author":"Yan","year":"2013"},{"key":"10.1016\/j.sigpro.2022.108782_bib0034","series-title":"2013 IEEE Conference on Computer Vision and Pattern Recognition","first-page":"409","article-title":"Global contrast based salient region detection","author":"Huang","year":"2011"},{"issue":"14","key":"10.1016\/j.sigpro.2022.108782_sbref0035","doi-asserted-by":"crossref","DOI":"10.1167\/7.14.4","article-title":"The central fixation bias in scene viewing: selecting an optimal viewing position independently of motor biases and image feature distributions","volume":"7","author":"Tatler","year":"2007","journal-title":"J Vis"},{"issue":"1","key":"10.1016\/j.sigpro.2022.108782_sbref0036","doi-asserted-by":"crossref","DOI":"10.1167\/17.1.32","article-title":"Perceptual quality prediction on authentically distorted images using a bag of features approach","volume":"17","author":"Ghadiyaram","year":"2017","journal-title":"J Vis"},{"issue":"11","key":"10.1016\/j.sigpro.2022.108782_bib0037","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1109\/TIP.2015.2456502","article-title":"Referenceless prediction of perceptual fog density and perceptual image defogging","volume":"24","author":"Choi","year":"2015","journal-title":"IEEE Trans. Image Process."},{"issue":"48","key":"10.1016\/j.sigpro.2022.108782_bib0038","doi-asserted-by":"crossref","first-page":"18814","DOI":"10.1523\/JNEUROSCI.3128-13.2013","article-title":"From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category","volume":"33","author":"Groen","year":"2013","journal-title":"J. Neurosci."},{"issue":"2","key":"10.1016\/j.sigpro.2022.108782_bib0039","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/TMM.2017.2740023","article-title":"Full-reference objective quality assessment of tone-mapped images","volume":"20","author":"Hadizadeh","year":"2018","journal-title":"IEEE Trans Multimedia"},{"issue":"3","key":"10.1016\/j.sigpro.2022.108782_bib0040","doi-asserted-by":"crossref","first-page":"1764","DOI":"10.1109\/TII.2019.2927527","article-title":"Referenceless quality evaluation of tone-mapped HDR and multiexposure fused images","volume":"16","author":"Yue","year":"2020","journal-title":"IEEE Trans. Ind. Inf."},{"key":"10.1016\/j.sigpro.2022.108782_bib0041","article-title":"No-reference image quality assessment based on spatial and spectral entropies","volume":"29","author":"Liu","year":"2014","journal-title":"Signal Processing Image Communication"},{"key":"10.1016\/j.sigpro.2022.108782_bib0042","series-title":"Human Vision and Electronic Imaging VIII","first-page":"87","article-title":"Measuring colorfulness in natural images","volume":"volume 5007","author":"Hasler","year":"2003"},{"key":"10.1016\/j.sigpro.2022.108782_bib0043","doi-asserted-by":"crossref","first-page":"B42","DOI":"10.1364\/JOSAA.24.000B42","article-title":"Blind image quality assessment through anisotropy","volume":"24","author":"Gabarda","year":"2008","journal-title":"J Opt Soc Am A Opt Image Sci Vis"},{"key":"10.1016\/j.sigpro.2022.108782_bib0044","series-title":"XGBoost: A Scalable Tree Boosting System","first-page":"785","author":"Chen","year":"2016"},{"issue":"3","key":"10.1016\/j.sigpro.2022.108782_bib0045","first-page":"18","article-title":"Classification and regression by randomforest","volume":"2","author":"Liaw","year":"2002","journal-title":"R news"},{"key":"10.1016\/j.sigpro.2022.108782_bib0046","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.neunet.2015.03.013","article-title":"Incremental learning for \u03bd-support vector regression","volume":"67","author":"Gu","year":"2015","journal-title":"Neural Networks"},{"key":"10.1016\/j.sigpro.2022.108782_bib0047","first-page":"27:1","article-title":"Libsvm: a library for support vector machines","volume":"2","author":"Chang","year":"2005","journal-title":"ACM TIST"},{"issue":"3","key":"10.1016\/j.sigpro.2022.108782_bib0048","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","article-title":"Making a \u201ccompletely blind\u201d image quality analyzer","volume":"20","author":"Mittal","year":"2013","journal-title":"IEEE Signal Process Lett"},{"issue":"8","key":"10.1016\/j.sigpro.2022.108782_bib0049","doi-asserted-by":"crossref","first-page":"2579","DOI":"10.1109\/TIP.2015.2426416","article-title":"A feature-enriched completely blind image quality evaluator","volume":"24","author":"Zhang","year":"2015","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"10.1016\/j.sigpro.2022.108782_bib0050","doi-asserted-by":"crossref","first-page":"4850","DOI":"10.1109\/TIP.2014.2355716","article-title":"Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features","volume":"23","author":"Xue","year":"2014","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2022.108782_bib0051","series-title":"2013 IEEE International Conference on Image Processing","first-page":"186","article-title":"Learning a blind image quality index based on visual saliency guided sampling and gabor filtering","author":"Gu","year":"2013"},{"key":"10.1016\/j.sigpro.2022.108782_bib0052","unstructured":"S. Wen, J. Wang, A strong baseline for image and video quality assessment (2021)."},{"key":"10.1016\/j.sigpro.2022.108782_bib0053","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"14131","article-title":"MetaIQA: deep meta-learning for no-reference image quality assessment","author":"Zhu","year":"2020"},{"issue":"1","key":"10.1016\/j.sigpro.2022.108782_bib0054","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/TCSVT.2018.2886771","article-title":"Blind image quality assessment using a deep bilinear convolutional neural network","volume":"30","author":"Zhang","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"10.1016\/j.sigpro.2022.108782_bib0055","doi-asserted-by":"crossref","first-page":"3784","DOI":"10.1109\/TIE.2018.2851984","article-title":"Blind quality assessment of tone-mapped images considering colorfulness, naturalness, and structure","volume":"66","author":"Yue","year":"2019","journal-title":"IEEE Trans. Ind. Electron."}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168422003218?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165168422003218?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:59:12Z","timestamp":1759035552000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168422003218"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":55,"alternative-id":["S0165168422003218"],"URL":"https:\/\/doi.org\/10.1016\/j.sigpro.2022.108782","relation":{},"ISSN":["0165-1684"],"issn-type":[{"value":"0165-1684","type":"print"}],"subject":[],"published":{"date-parts":[[2023,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"No-reference quality index of tone-mapped images based on authenticity, preservation, and scene expressiveness","name":"articletitle","label":"Article Title"},{"value":"Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.sigpro.2022.108782","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"108782"}}