Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RMQBE2
Repositorysid.inpe.br/sibgrapi/2018/08.25.17.24
Last Update2018:08.25.17.24.13 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.25.17.24.13
Metadata Last Update2022:06.14.00.09.07 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00015
Citation KeyAriasFeli:2018:ViDeQu
TitleVideo Denoising Quality Assessment for Different Noise Distributions
FormatOn-line
Year2018
Access Date2024, Apr. 28
Number of Files1
Size19096 KiB
2. Context
Author1 Arias, Rafael L. B.
2 Felinto, Alan Salvany
Affiliation1 Londrina State University (UEL)
2 Londrina State University (UEL)
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressrafarias94@hotmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-08-25 17:24:13 :: rafarias94@hotmail.com -> administrator ::
2022-06-14 00:09:07 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdenoising
noise
video
quality metrics
AbstractDenoising algorithms often presume a single noise model, for instance, Gaussian noise, but it has been observed that during acquisition, image and video sequences can be corrupted by different types of noise, which follow a distinct probability distribution model depending on the application. This paper aims to compare the performance of several denoising algorithms, among them Non-Local Means and Block-Matching 3D, and other classical techniques such as median, Gaussian, bilateral and anisotropic diffusion, by simulating different noise distributions in videos and comparing the methods efficiency in multiple scenarios. Objective evaluation uses structural similarity (SSIM) and provides video specific assessment scores with NTIA Video Quality Metric (VQM). Results show considerable differences between intraframe and interframe filtering quality, while variations in filtering responses to each type of noise contribute to more appropriate selection of techniques to noise reduction and provide insight to noise difficulty levels.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Video Denoising Quality...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Video Denoising Quality...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 25/08/2018 14:24 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RMQBE2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RMQBE2
Languageen
Target FilePaper ID 55.pdf
User Grouprafarias94@hotmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 8
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


Close