1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3RNPSS5 |
Repository | sid.inpe.br/sibgrapi/2018/08.31.18.41 |
Last Update | 2018:08.31.18.41.10 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2018/08.31.18.41.10 |
Metadata Last Update | 2022:06.14.00.09.17 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2018.00017 |
Citation Key | GonçalvesGayaDrewBote:2018:SiImDe |
Title | GuidedNet: Single Image Dehazing Using an End-to-end Convolutional Neural Network |
Format | On-line |
Year | 2018 |
Access Date | 2024, May 03 |
Number of Files | 1 |
Size | 7086 KiB |
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2. Context | |
Author | 1 Gonçalves, Lucas Teixeira 2 Gaya, Joel Felipe de Oliveira 3 Drews-Jr, Paulo Jorge Lilles 4 Botelho, Silvia Silva da Costa |
Affiliation | 1 Universidade Federal do Rio Grande 2 Universidade Federal do Rio Grande 3 Universidade Federal do Rio Grande 4 Universidade Federal do Rio Grande |
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 | lucasteixeirag11@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 | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2018-08-31 18:41:10 :: lucasteixeirag11@gmail.com -> administrator :: 2022-06-14 00:09:17 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | deep learning single image dehazing convolutional neural networks guided filter |
Abstract | Poor visibility is a common problem when capturing images in participating mediums such as mist or water. The problem of generating a haze-free image based on a hazy one can be described as image dehazing. Previous approaches dealt with this problem using physical models based on priors and simplifications. In this paper, we demonstrate that an end-to-end convolutional neural network is able to learn the dehazing process with no parameters or priors required, resulting in a more generic method. Even though our model is trained entirely with hazy indoor images, we are able to fully restore outdoor images with real haze. Also, we propose an architecture containing the novel Guided Layers, introduced in order to reduce the loss of spatial information while restoring the images. Our method outperforms other machine learning based models, yielding superior results both qualitatively and quantitatively. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > GuidedNet: Single Image... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > GuidedNet: Single Image... |
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/3RNPSS5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RNPSS5 |
Language | en |
Target File | FINAL_FINAL_SIBIGRAPI.pdf |
User Group | lucasteixeirag11@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 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 13 sid.inpe.br/banon/2001/03.30.15.38.24 1 |
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 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 |
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