Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PF65BB |
Repository | sid.inpe.br/sibgrapi/2017/08.17.12.24 |
Last Update | 2017:08.17.12.24.04 administrator |
Metadata | sid.inpe.br/sibgrapi/2017/08.17.12.24.04 |
Metadata Last Update | 2020:02.19.02.01.21 administrator |
Citation Key | PiresSaPeSoLePa:2017:RoReBo |
Title | A Robust Restricted Boltzmann Machine for Binary Image Denoising  |
Format | On-line |
Year | 2017 |
Date | Oct. 17-20, 2017 |
Access Date | 2021, Jan. 21 |
Number of Files | 1 |
Size | 737 KiB |
Context area | |
Author | 1 Pires, Rafael Gonçalves 2 Santos, Daniel Felipe Silva 3 Pereira, Luís Augusto Martins 4 Souza, Gustavo Botelho de 5 Levada, Alexandre Luis Magalhães 6 Papa, João Paulo |
Affiliation | 1 Department of Computing Federal University of São Carlos São Carlos - SP, Brazil 2 Department of Computing São Paulo State University Bauru - SP, Brazil 3 Institute of Computing University of Campinas Campinas - SP, Brazil 4 Department of Computing Federal University of São Carlos São Carlos - SP, Brazil 5 Department of Computing Federal University of São Carlos São Carlos - SP, Brazil 6 Department of Computing São Paulo State University Bauru - SP, Brazil |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | rafapires@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2017-08-17 12:24:04 :: rafapires@gmail.com -> administrator :: 2020-02-19 02:01:21 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | image restoration, machine learning, restricted boltzmann machines. |
Abstract | During the image acquisition process, some level of noise is usually added to the real data mainly due to physical limitations of the acquisition sensor, and also regarding imprecisions during the data transmission and manipulation. Therefore, the resultant image needs to be processed in order to attenuate its noise without loosing details. Machine learning approaches have been successfully used for image denoising. Among such approaches, Restricted Boltzmann Machine (RBM) is one of the most used technique for this purpose. Here, we propose to enhance the RBM performance on image denoising by adding a posterior supervision before its final denoising step. To this purpose, we propose a simple but effective approach that performs a fine-tuning in the RBM model. Experiments on public datasets corrupted by different levels of Gaussian noise support the effectiveness of the proposed approach with respect to some state-of-the-art image denoising approaches. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PF65BB |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PF65BB |
Language | en |
Target File | PID4955441.pdf |
User Group | rafapires@gmail.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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