Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Chen, Pengfei, Li, Leida, Zhang, Xinfeng, Wang, Shanshe, Tan, Allen (2019) Blind quality index for tone-mapped images based on luminance partition. Pattern Recognition, 89. 108-118 doi:10.1016/j.patcog.2019.01.010

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleBlind quality index for tone-mapped images based on luminance partition
JournalPattern Recognition
AuthorsChen, PengfeiAuthor
Li, LeidaAuthor
Zhang, XinfengAuthor
Wang, ShansheAuthor
Tan, AllenAuthor
Year2019 (May)Volume89
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2019.01.010Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367708Long-form Identifiermindat:1:5:9367708:4
GUID0
Full ReferenceChen, Pengfei, Li, Leida, Zhang, Xinfeng, Wang, Shanshe, Tan, Allen (2019) Blind quality index for tone-mapped images based on luminance partition. Pattern Recognition, 89. 108-118 doi:10.1016/j.patcog.2019.01.010
Plain TextChen, Pengfei, Li, Leida, Zhang, Xinfeng, Wang, Shanshe, Tan, Allen (2019) Blind quality index for tone-mapped images based on luminance partition. Pattern Recognition, 89. 108-118 doi:10.1016/j.patcog.2019.01.010
In(2019) Pattern Recognition Vol. 89. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Song, Tianshu, Li, Leida, Wu, Jinjian, Dong, Weisheng, Cheng, Deqiang (2024) Quality-aware blind image motion deblurring. Pattern Recognition, 153. 110568 doi:10.1016/j.patcog.2024.110568
Li, Jiong, Zhang, Hang, Wang, Pengfei (2019) Blind separation of temporally correlated noncircular sources using complex matrix joint diagonalization. Pattern Recognition, 87. 285-295 doi:10.1016/j.patcog.2018.10.016
Zhu, Tong, Li, Leida, Chen, Pengfei, Wu, Jinjian, Yang, Yuzhe, Li, Yaqian (2024) Emotion-aware hierarchical interaction network for multimodal image aesthetics assessment. Pattern Recognition, 154. 110584 doi:10.1016/j.patcog.2024.110584
Zhou, Tianwei; Tan, Songbai; Li, Leida; Zhao, Baoquan; Jiang, Qiuping; Yue, Guanghui (2025) Cross-Modality Interactive Attention Network for AI-generated image quality assessment. Pattern Recognition, 167. doi:10.1016/j.patcog.2025.111693
Lu, Tan, Dooms, Ann (2021) Bayesian damage recognition in document images based on a joint global and local homogeneity model. Pattern Recognition, 118. 108034pp. doi:10.1016/j.patcog.2021.108034
Liu, Xuelin, Fang, Yuming, Du, Rengang, Zuo, Yifan, Wen, Wenying (2020) Blind quality assessment for tone-mapped images based on local and global features. Information Sciences, 528. 46-57 doi:10.1016/j.ins.2020.03.067
Gao, Pengfei, Qin, Jiaohua, Xiang, Xuyu, Tan, Yun (2025) Robust and privacy-preserving feature extractor for perturbed images. Pattern Recognition, 161. doi:10.1016/j.patcog.2024.111202
Li, Leida, Chen, Xi, Wu, Jinjian, Wang, Shiqi, Shi, Guangming (2020) No-reference quality index of depth images based on statistics of edge profiles for view synthesis. Information Sciences, 516. 205-219 doi:10.1016/j.ins.2019.12.061
Ke, Chengjie, Zhang, Zhiyuan, Zhang, Wei, Chen, Jun, Tian, Xin (2025) Kernel-guided injection deep network for blind fusion of multispectral and panchromatic images. Pattern Recognition, 157. doi:10.1016/j.patcog.2024.110889
Zhou, Wujie, Yu, Lu, Zhou, Yang, Qiu, Weiwei, Wu, Ming-Wei, Luo, Ting (2017) Blind quality estimator for 3D images based on binocular combination and extreme learning machine. Pattern Recognition, 71. 207-217 doi:10.1016/j.patcog.2017.06.008
Gu, Jie, Meng, Gaofeng, Xiang, Shiming, Pan, Chunhong (2019) Blind image quality assessment via learnable attention-based pooling. Pattern Recognition, 91. 332-344 doi:10.1016/j.patcog.2019.02.021
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 18, 2025 09:31:15
Go to top of page