Methodology for Evidence Reconstruction in Digital Image Forensics

Methodology for Evidence Reconstruction in Digital Image Forensics

Kalpana Manudhane

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Mr. M.M. Bartere

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Savitribai Phule Pune University

Methodology for Evidence Reconstruction in Digital Image Forensics

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Abstract

This paper reveals basics of Digital (Image) Forensics. The paper describes the ways to manipulate image, namely, copy-move forgery (copy region in image & paste into another region in same image), image splicing (copy region in image & paste into another image) and image retouching. The paper mainly focuses on copy move forgery detection methods that are classified mainly into two broad approaches -block-based and key-point. Methodology (generalized as well as approach specific) of copy move forgery detection is presented in detail. Copied region is not directly pasted but manipulated (scale, rotation, adding Gaussian noise or combining these transformations) before pasting. The method for detection should robust to these transformations. The paper also presents methodology for reconstruction (if possible) of forged image based on detection result.

References

21 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Kalpana Manudhane. 2014. \u201cMethodology for Evidence Reconstruction in Digital Image Forensics\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F9).

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GJCST Volume 13 Issue F9

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

copy-move forgery digital forensics feature extraction keypoint reconstruction

Submission ReceivedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted January 3, 2013
Published January 15, 2013

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v1.2

Issue date

February 3, 2014

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Kalpana Manudhane, Mr. M.M. Bartere (PhD/Dr. count: 0)

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Total Views: 8927

Total Downloads: 2236

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