1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3S3U2NS |
Repository | sid.inpe.br/sibgrapi/2018/10.20.22.07 |
Last Update | 2018:10.20.22.07.44 (UTC) santos.cid@gmail.com |
Metadata Repository | sid.inpe.br/sibgrapi/2018/10.20.22.07.44 |
Metadata Last Update | 2022:05.18.22.18.34 (UTC) administrator |
Citation Key | SantosMasc:2018:StDiPa |
Title | Stochastic distances for patch-based ultrasound image despeckling |
Format | On-line |
Year | 2018 |
Access Date | 2024, May 19 |
Number of Files | 1 |
Size | 292 KiB |
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2. Context | |
Author | 1 Santos, Cid Adinam Nogueira 2 Mascarenhas, Nelson Delfino DÁvila |
Affiliation | 1 Universidade Federal de São Carlos 2 Universidade Federal de São Carlos |
Editor | Ross, 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 Address | santos.cid@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Master's or Doctoral Work |
History (UTC) | 2018-10-20 22:07:44 :: santos.cid@gmail.com -> administrator :: 2022-05-18 22:18:34 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | despeckling ultrasound imaging patch-based filtering stochastic distances geodesic distances BM3D NLM |
Abstract | Ultrasound image despeckling is an important research field since it can improve the interpretability of one of the main categories of medical imaging. Many techniques have been tried over the years for ultrasound despeckling, and more recently, a great deal of attention has been focused on patch-based methods, such as non-local means (NLM) and block-matching collaborative filtering (BM3D). A common idea in these recent methods is the measure of distance between patches, originally proposed as the Euclidean distance, for filtering additive white Gaussian noise. In this work, we derive several new similarity measures based on the statistics of the speckle and apply them for despeckling both radio frequency (RF) and log-compressed US signals. State-of-the-art results in filtering simulated, synthetic, and real ultrasound images confirm the potential of the proposed approach. |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Stochastic distances for... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3S3U2NS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3S3U2NS |
Language | en |
Target File | wtd_sibgrapi_2018_v2.pdf |
User Group | santos.cid@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume |
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