Deblurring by Matching.
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| Title: | Deblurring by Matching. |
|---|---|
| Authors: | Ancuti, Cosmin1 cosmin.ancuti@uhasselt.be, Ancuti, Codruta Orniana1 codruta.ancuti@uhasselt.be, Bekaert, Philippe1 philippe.bekaert@uhasselt.be |
| Source: | Computer Graphics Forum. Apr2009, Vol. 28 Issue 2, p619-628. 10p. 8 Color Photographs. |
| Subjects: | Digital image processing software, Digital photography software, Computer vision, Deconvolution (Mathematics), Spectrum analysis, Computer software, Preservation of photographs, Computer graphics software |
| Abstract: | Restoration of the photographs damaged by the camera shake is a challenging task that manifested increasing attention in the recent period. Despite of the important progress of the blind deconvolution techniques, due to the ill-posed nature of the problem, the finest details of the kernel blur cannot be recovered entirely. Moreover, the additional constraints and prior assumptions make these approaches to be relative limited. In this paper we introduce a novel technique that removes the undesired blur artifacts from photographs taken by hand-held digital cameras. Our approach is based on the observation that in general several consecutive photographs taken by the users share image regions that project the same scene content. Therefore, we took advantage of additional sharp photographs of the same scene. Based on several invariant local feature points, filtered from the given blurred/non-blurred images, our approach matches the keypoints and estimates the blur kernel using additional statistical constraints. We also present a simple deconvolution technique that preserves edges while minimizing the ringing artifacts in the restored latent image. The experimental results prove that our technique is able to infer accurately the blur kernel while reducing significantly the artifacts of the spoilt images. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Graphics Forum is the property of Wiley-Blackwell 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 37138257 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Deblurring by Matching. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ancuti%2C+Cosmin%22">Ancuti, Cosmin</searchLink><relatesTo>1</relatesTo><i> cosmin.ancuti@uhasselt.be</i><br /><searchLink fieldCode="AR" term="%22Ancuti%2C+Codruta+Orniana%22">Ancuti, Codruta Orniana</searchLink><relatesTo>1</relatesTo><i> codruta.ancuti@uhasselt.be</i><br /><searchLink fieldCode="AR" term="%22Bekaert%2C+Philippe%22">Bekaert, Philippe</searchLink><relatesTo>1</relatesTo><i> philippe.bekaert@uhasselt.be</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Apr2009, Vol. 28 Issue 2, p619-628. 10p. 8 Color Photographs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Digital+image+processing+software%22">Digital image processing software</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+photography+software%22">Digital photography software</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Deconvolution+%28Mathematics%29%22">Deconvolution (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Preservation+of+photographs%22">Preservation of photographs</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+graphics+software%22">Computer graphics software</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Restoration of the photographs damaged by the camera shake is a challenging task that manifested increasing attention in the recent period. Despite of the important progress of the blind deconvolution techniques, due to the ill-posed nature of the problem, the finest details of the kernel blur cannot be recovered entirely. Moreover, the additional constraints and prior assumptions make these approaches to be relative limited. In this paper we introduce a novel technique that removes the undesired blur artifacts from photographs taken by hand-held digital cameras. Our approach is based on the observation that in general several consecutive photographs taken by the users share image regions that project the same scene content. Therefore, we took advantage of additional sharp photographs of the same scene. Based on several invariant local feature points, filtered from the given blurred/non-blurred images, our approach matches the keypoints and estimates the blur kernel using additional statistical constraints. We also present a simple deconvolution technique that preserves edges while minimizing the ringing artifacts in the restored latent image. The experimental results prove that our technique is able to infer accurately the blur kernel while reducing significantly the artifacts of the spoilt images. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/j.1467-8659.2009.01402.x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 619 Subjects: – SubjectFull: Digital image processing software Type: general – SubjectFull: Digital photography software Type: general – SubjectFull: Computer vision Type: general – SubjectFull: Deconvolution (Mathematics) Type: general – SubjectFull: Spectrum analysis Type: general – SubjectFull: Computer software Type: general – SubjectFull: Preservation of photographs Type: general – SubjectFull: Computer graphics software Type: general Titles: – TitleFull: Deblurring by Matching. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ancuti, Cosmin – PersonEntity: Name: NameFull: Ancuti, Codruta Orniana – PersonEntity: Name: NameFull: Bekaert, Philippe IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Computer Graphics Forum Type: main |
| ResultId | 1 |
