1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/wkxGv |
Repository | sid.inpe.br/banon/2002/12.02.10.35 |
Last Update | 2002:11.14.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/12.02.10.35.35 |
Metadata Last Update | 2022:06.14.00.12.24 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2001.963052 |
Citation Key | JungScha:2001:AdImDe |
Title | Adaptive image denoising in scale-space using the wavelet transform |
Year | 2001 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 1039 KiB |
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2. Context | |
Author | 1 Jung, C. R. 2 Scharcanski, J. |
Editor | Borges, Leandro Díbio Wu, Shin-Ting |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 14 (SIBGRAPI) |
Conference Location | Florianópolis, SC, Brazil |
Date | 15-18 Oct. 2001 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 172-178 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:53 :: administrator -> banon :: 2008-08-26 15:22:03 :: banon -> administrator :: 2009-08-13 20:37:12 :: administrator -> banon :: 2010-08-28 20:00:13 :: banon -> administrator :: 2022-06-14 00:12:24 :: administrator -> :: 2001 |
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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 | denoising edge detection multiresolution analysis wavelet shrinkage |
Abstract | This paper proposes a new method for image denoising with edge preservation using the wavelet transform. At each resolution of the wavelet transform, the coefficients associated do noise and coefficients associated to edges are modeled by Gaussians, and a shrinkage function is assembled. These shrinkage functions are combined in consecutive resolutions, and geometric constraints are applied to preserve edges that are not isolated. The proposed method is adaptive, and performs well for images contaminated by natural and artificial noise. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2001 > Adaptive image denoising... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Adaptive image denoising... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/wkxGv |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/wkxGv |
Language | en |
Target File | 172-178.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46Q6TJ5 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/04.29.19.35 7 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Florianópolis, SC, Brazil, from October 15 to 18. |
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