Color noise correlation-based splicing detection for image forensics.
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| Title: | Color noise correlation-based splicing detection for image forensics. |
|---|---|
| Authors: | Itier, Vincent1 (AUTHOR), Strauss, Olivier2 (AUTHOR), Morel, Laurent3 (AUTHOR), Puech, William2 (AUTHOR) william.puech@lirmm.fr |
| Source: | Multimedia Tools & Applications. Apr2021, Vol. 80 Issue 9, p13215-13233. 19p. |
| Subjects: | Adobe Photoshop (Computer software), Image processing software, Digital photography, Adobe software, Noise, Color image processing, RNA splicing |
| Geographic Terms: | Colombia |
| Abstract: | Today, it has become very easy to manipulate digital images using image processing tools and software such as Adobe Photoshop (https://www.adobe.com/products/photoshop.html). Tampering with images by splicing is an operation that consists of cutting-and-pasting an area of an image into another host image. In this paper, we propose to detect and localize such manipulations by analyzing the correlation of the image noise across the three color channels RGB, which is an intrinsic feature of the digital photography acquisition process. More precisely, we propose to detect the border between the background (host image) and the spliced area. Using a sliding window, we detect the blocks that span across the two areas which are characterized by two different color noise correlations. To do this, we propose specific features that are able to highlight these blocks. After the feature extraction, we introduce a learning phase using a Random Forest Classifier. Experimental results, specifically on the Columbia database, show very good results in comparison to other current state of the art methods. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature 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: 149990416 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Color noise correlation-based splicing detection for image forensics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Itier%2C+Vincent%22">Itier, Vincent</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Strauss%2C+Olivier%22">Strauss, Olivier</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Morel%2C+Laurent%22">Morel, Laurent</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Puech%2C+William%22">Puech, William</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> william.puech@lirmm.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Apr2021, Vol. 80 Issue 9, p13215-13233. 19p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Adobe+Photoshop+%28Computer+software%29%22">Adobe Photoshop (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+software%22">Image processing software</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+photography%22">Digital photography</searchLink><br /><searchLink fieldCode="DE" term="%22Adobe+software%22">Adobe software</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Color+image+processing%22">Color image processing</searchLink><br /><searchLink fieldCode="DE" term="%22RNA+splicing%22">RNA splicing</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Colombia%22">Colombia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Today, it has become very easy to manipulate digital images using image processing tools and software such as Adobe Photoshop (https://www.adobe.com/products/photoshop.html). Tampering with images by splicing is an operation that consists of cutting-and-pasting an area of an image into another host image. In this paper, we propose to detect and localize such manipulations by analyzing the correlation of the image noise across the three color channels RGB, which is an intrinsic feature of the digital photography acquisition process. More precisely, we propose to detect the border between the background (host image) and the spliced area. Using a sliding window, we detect the blocks that span across the two areas which are characterized by two different color noise correlations. To do this, we propose specific features that are able to highlight these blocks. After the feature extraction, we introduce a learning phase using a Random Forest Classifier. Experimental results, specifically on the Columbia database, show very good results in comparison to other current state of the art methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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=149990416 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-020-10326-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 13215 Subjects: – SubjectFull: Adobe Photoshop (Computer software) Type: general – SubjectFull: Image processing software Type: general – SubjectFull: Digital photography Type: general – SubjectFull: Adobe software Type: general – SubjectFull: Noise Type: general – SubjectFull: Color image processing Type: general – SubjectFull: RNA splicing Type: general – SubjectFull: Colombia Type: general Titles: – TitleFull: Color noise correlation-based splicing detection for image forensics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Itier, Vincent – PersonEntity: Name: NameFull: Strauss, Olivier – PersonEntity: Name: NameFull: Morel, Laurent – PersonEntity: Name: NameFull: Puech, William IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 04 Text: Apr2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 80 – Type: issue Value: 9 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
| ResultId | 1 |
