Mean curvature regularization-based Poisson image restoration.
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| Title: | Mean curvature regularization-based Poisson image restoration. |
|---|---|
| Authors: | Fuquan Ren1 petterren@gmail.com, Tianshuang Qiu1, Hui Liu1 |
| Source: | Journal of Electronic Imaging. May/Jun2015, Vol. 24 Issue 3, p1-15. 15p. |
| Subjects: | Poisson processes, Image reconstruction, Image processing, Lagrange multiplier, Mathematical optimization |
| Abstract: | The restoration of blurred images corrupted by Poisson noise is an important task in various applications such as medical imaging, microscopy imaging, and so on. We focus on mean curvature-based regularization to address the Poisson noise image restoration problem. Furthermore, we derive a numerical algorithm based on the augmented Lagrange multiplier method with a splitting technique. In order to simultaneously demonstrate the effectiveness of the proposed method for Poisson noise removal with deblurring, we conduct systematic experiments on both nature images and biological images. Experimental results show that the proposed approach can produce higher quality results and more natural images compared to some state-of-the-art variational algorithms recently developed. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 108990244 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Mean curvature regularization-based Poisson image restoration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fuquan+Ren%22">Fuquan Ren</searchLink><relatesTo>1</relatesTo><i> petterren@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tianshuang+Qiu%22">Tianshuang Qiu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Hui+Liu%22">Hui Liu</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Electronic+Imaging%22">Journal of Electronic Imaging</searchLink>. May/Jun2015, Vol. 24 Issue 3, p1-15. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Poisson+processes%22">Poisson processes</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Lagrange+multiplier%22">Lagrange multiplier</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The restoration of blurred images corrupted by Poisson noise is an important task in various applications such as medical imaging, microscopy imaging, and so on. We focus on mean curvature-based regularization to address the Poisson noise image restoration problem. Furthermore, we derive a numerical algorithm based on the augmented Lagrange multiplier method with a splitting technique. In order to simultaneously demonstrate the effectiveness of the proposed method for Poisson noise removal with deblurring, we conduct systematic experiments on both nature images and biological images. Experimental results show that the proposed approach can produce higher quality results and more natural images compared to some state-of-the-art variational algorithms recently developed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Electronic Imaging is the property of SPIE - International Society of Optical Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=108990244 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1117/1.JEI.24.3.033025 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1 Subjects: – SubjectFull: Poisson processes Type: general – SubjectFull: Image reconstruction Type: general – SubjectFull: Image processing Type: general – SubjectFull: Lagrange multiplier Type: general – SubjectFull: Mathematical optimization Type: general Titles: – TitleFull: Mean curvature regularization-based Poisson image restoration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fuquan Ren – PersonEntity: Name: NameFull: Tianshuang Qiu – PersonEntity: Name: NameFull: Hui Liu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 10179909 Numbering: – Type: volume Value: 24 – Type: issue Value: 3 Titles: – TitleFull: Journal of Electronic Imaging Type: main |
| ResultId | 1 |
