Self‐guided filter for image denoising
The guided filter has been acknowledged as an exceptional edge‐preserving filter whose output is a locally linear transform of the guidance image. However, the traditional guided filter heavily relies on the guidance image and fails to achieve the desired result when performing image denoising witho...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-09-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-ipr.2019.1471 |
| _version_ | 1829492556767952896 |
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| author | Shujin Zhu Zekuan Yu |
| author_facet | Shujin Zhu Zekuan Yu |
| author_sort | Shujin Zhu |
| collection | DOAJ |
| description | The guided filter has been acknowledged as an exceptional edge‐preserving filter whose output is a locally linear transform of the guidance image. However, the traditional guided filter heavily relies on the guidance image and fails to achieve the desired result when performing image denoising without a clear guidance image. In this study, to address this limitation, the authors propose a simple yet effective guided filter variant for the single image noise removing. They further show that the proposed denoising strategy can be easily realised by using the iterative framework. Moreover, the weak textured patches based image noise estimation is utilised to generate a clear intermediate image which makes the proposed method highly adaptable to the local noise level. Experimental results demonstrate that their proposed algorithm can compete with the state‐of‐the‐art local denoising methods in edge‐preserving. |
| first_indexed | 2024-12-16T06:17:07Z |
| format | Article |
| id | doaj.art-8a2390416db2492391118bc97d70f967 |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-12-16T06:17:07Z |
| publishDate | 2020-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-8a2390416db2492391118bc97d70f9672022-12-21T22:41:14ZengWileyIET Image Processing1751-96591751-96672020-09-0114112561256610.1049/iet-ipr.2019.1471Self‐guided filter for image denoisingShujin Zhu0Zekuan Yu1Department of Biomedical EngineeringSchool of Geography and Biological Information, Nanjing University of Posts and TelecommunicationsNanjing210023People's Republic of ChinaAcademy for Engineering and TechnologyFudan UniversityShanghai200433People's Republic of ChinaThe guided filter has been acknowledged as an exceptional edge‐preserving filter whose output is a locally linear transform of the guidance image. However, the traditional guided filter heavily relies on the guidance image and fails to achieve the desired result when performing image denoising without a clear guidance image. In this study, to address this limitation, the authors propose a simple yet effective guided filter variant for the single image noise removing. They further show that the proposed denoising strategy can be easily realised by using the iterative framework. Moreover, the weak textured patches based image noise estimation is utilised to generate a clear intermediate image which makes the proposed method highly adaptable to the local noise level. Experimental results demonstrate that their proposed algorithm can compete with the state‐of‐the‐art local denoising methods in edge‐preserving.https://doi.org/10.1049/iet-ipr.2019.1471exceptional edge‐preserving filtertraditional guided filterdesired resultperforming image denoisingclear guidance imageeffective guided filter variant |
| spellingShingle | Shujin Zhu Zekuan Yu Self‐guided filter for image denoising IET Image Processing exceptional edge‐preserving filter traditional guided filter desired result performing image denoising clear guidance image effective guided filter variant |
| title | Self‐guided filter for image denoising |
| title_full | Self‐guided filter for image denoising |
| title_fullStr | Self‐guided filter for image denoising |
| title_full_unstemmed | Self‐guided filter for image denoising |
| title_short | Self‐guided filter for image denoising |
| title_sort | self guided filter for image denoising |
| topic | exceptional edge‐preserving filter traditional guided filter desired result performing image denoising clear guidance image effective guided filter variant |
| url | https://doi.org/10.1049/iet-ipr.2019.1471 |
| work_keys_str_mv | AT shujinzhu selfguidedfilterforimagedenoising AT zekuanyu selfguidedfilterforimagedenoising |