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

AL-Allaf, Omaima N.A. (2011) Codebook Enhancement in Vector Quantization Image Compression using Backpropagation Neural Network. Journal of Applied Sciences, 11. 3152-3160 doi:10.3923/jas.2011.3152.3160

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleCodebook Enhancement in Vector Quantization Image Compression using Backpropagation Neural Network
JournalJournal of Applied Sciences
AuthorsAL-Allaf, Omaima N.A.Author
Year2011 (December 1)Volume11
PublisherScience Alert
DOIdoi:10.3923/jas.2011.3152.3160Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10341929Long-form Identifiermindat:1:5:10341929:1
GUID0
Full ReferenceAL-Allaf, Omaima N.A. (2011) Codebook Enhancement in Vector Quantization Image Compression using Backpropagation Neural Network. Journal of Applied Sciences, 11. 3152-3160 doi:10.3923/jas.2011.3152.3160
Plain TextAL-Allaf, Omaima N.A. (2011) Codebook Enhancement in Vector Quantization Image Compression using Backpropagation Neural Network. Journal of Applied Sciences, 11. 3152-3160 doi:10.3923/jas.2011.3152.3160
In(n.d.) Journal of Applied Sciences Vol. 11. Science Alert

See Also

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

Khatib, Tamer, AlSadi, Samer (2011) Modeling of Wind Speed for Palestine Using Artificial Neural Network. Journal of Applied Sciences, 11. 2634-2639 doi:10.3923/jas.2011.2634.2639
., Krisana Chinnasarn, ., Sirima Chinnasarn, ., David Leo Pyle (2006) Identification of Surimi Gel Strength Classes using Backpropagation Neural Network and Principal Component Analysis. Journal of Applied Sciences, 6. 1802-1807 doi:10.3923/jas.2006.1802.1807
Noori, Omar, Ahmad, Sharifah Mumtazah Sy, Shakil, Asma (2011) Offline Malay Handwritten Cheque Words Recognition using Artificial Neural Network. Journal of Applied Sciences, 11. 86-95 doi:10.3923/jas.2011.86.95
Olanrewaju, R.F., Khalifa, O.O., Abdulla, Aisha-, Aburas, A.A., Zeki, A.M. (2011) Determining Watermark Embedding Strength using Complex Valued Neural Network. Journal of Applied Sciences, 11. 2907-2915 doi:10.3923/jas.2011.2907.2915
Roudsari, M.T., Hosseini, M. (2011) Using Neural Network for Reliability Assessment of Buried Steel Pipeline Networks Subjected to Earthquake Wave Propagation. Journal of Applied Sciences, 11. 3233-3246 doi:10.3923/jas.2011.3233.3246
Bayir, R. (2008) Condition Monitoring and Fault Diagnosis of Serial Wound Starter Motor with Learning Vector Quantization Network. Journal of Applied Sciences, 8. 3148-3156 doi:10.3923/jas.2008.3148.3156
Qiao Hui, Lee, Weng Hui, Liew, Aziz, Norashid, Ahmad, Zainal (2011) Nonlinear Process Modeling of “Shell” Heavy Oil Fractionator using Neural Network. Journal of Applied Sciences, 11. 2114-2124 doi:10.3923/jas.2011.2114.2124
Bash, Adel Mahmoud (2011) Predict Dynamic Response of Suspension Arm Based on Artificial Neural Network Technique. Journal of Applied Sciences, 11. 988-995 doi:10.3923/jas.2011.988.995
Domingo, Felicisimo, Saloma, Caesar (1999) Image compression by vector quantization with noniterative derivation of a codebook: applications to video and confocal images. Applied Optics, 38. 3735pp. doi:10.1364/ao.38.003735
Samsudin, R., Shabri, A., Saad, P. (2010) A Comparison of Time Series Forecasting using Support Vector Machine and Artificial Neural Network Model. Journal of Applied Sciences, 10. 950-958 doi:10.3923/jas.2010.950.958
Daqrouq, Khaled, Alkhateeb, Abdulhameed, Ajour, Mohammad, Morfeq, Ali (2014) Wavelet Linear Prediction Coding with Feed Forward Backpropagation Neural Network for Noisy Speaker Identification System. Journal of Applied Sciences, 14. 2341-2349 doi:10.3923/jas.2014.2341.2349
 
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 © 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 22, 2025 15:42:37
Go to top of page