Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis

Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed indepe...

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Main Authors: Gunawan, Teddy Surya, Mohammad Hanafiah, Siti Amalina, Kartiwi, Mira, Ismail, Nanang, Za'bah, Nor Farahidah, Nordin, Anis Nurashikin
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science 2017
Subjects:
Online Access:http://irep.iium.edu.my/58371/
http://irep.iium.edu.my/58371/
http://irep.iium.edu.my/58371/7/58371-Development%20of%20Photo%20Forensics%20Algorithm.pdf
http://irep.iium.edu.my/58371/8/58371-Development%20of%20Photo%20Forensics%20Algorithm_SCOPUS.pdf
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spelling iium-583712018-04-18T03:07:05Z http://irep.iium.edu.my/58371/ Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis Gunawan, Teddy Surya Mohammad Hanafiah, Siti Amalina Kartiwi, Mira Ismail, Nanang Za'bah, Nor Farahidah Nordin, Anis Nurashikin TK Electrical engineering. Electronics Nuclear engineering Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed independently, having size of 8x8 pixels. For unmodified image, all 8x8 grids should have a similar error level. For resaving operation, each block should degrade at approximately the same rate due to the introduction of similar amount of errors across the entire image. For modified image, the altered blocks should have higher error potential compred to the remaining part of the image. The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. The error level analysis (ELA) was further enhanced using vertical and horizontal histograms of ELA image to pinpoint the exact location of modification. Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications. Institute of Advanced Engineering and Science 2017-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58371/7/58371-Development%20of%20Photo%20Forensics%20Algorithm.pdf application/pdf en http://irep.iium.edu.my/58371/8/58371-Development%20of%20Photo%20Forensics%20Algorithm_SCOPUS.pdf Gunawan, Teddy Surya and Mohammad Hanafiah, Siti Amalina and Kartiwi, Mira and Ismail, Nanang and Za'bah, Nor Farahidah and Nordin, Anis Nurashikin (2017) Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis. Indonesian Journal of Electrical Engineering and Computer Science, 7 (1). pp. 131-137. ISSN 2502-4752 E-ISSN 2502-4760 http://iaesjournal.com/online/index.php/IJEECS/article/view/16162
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Gunawan, Teddy Surya
Mohammad Hanafiah, Siti Amalina
Kartiwi, Mira
Ismail, Nanang
Za'bah, Nor Farahidah
Nordin, Anis Nurashikin
Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
description Nowadays, image manipulation is common due to the availability of image processing software, such as Adobe Photoshop or GIMP. The original image captured by digital camera or smartphone normally is saved in the JPEG format due to its popularity. JPEG algorithm works on image grids, compressed independently, having size of 8x8 pixels. For unmodified image, all 8x8 grids should have a similar error level. For resaving operation, each block should degrade at approximately the same rate due to the introduction of similar amount of errors across the entire image. For modified image, the altered blocks should have higher error potential compred to the remaining part of the image. The objective of this paper is to develop a photo forensics algorithm which can detect any photo manipulation. The error level analysis (ELA) was further enhanced using vertical and horizontal histograms of ELA image to pinpoint the exact location of modification. Results showed that our proposed algorithm could identify successfully the modified image as well as showing the exact location of modifications.
format Article
author Gunawan, Teddy Surya
Mohammad Hanafiah, Siti Amalina
Kartiwi, Mira
Ismail, Nanang
Za'bah, Nor Farahidah
Nordin, Anis Nurashikin
author_facet Gunawan, Teddy Surya
Mohammad Hanafiah, Siti Amalina
Kartiwi, Mira
Ismail, Nanang
Za'bah, Nor Farahidah
Nordin, Anis Nurashikin
author_sort Gunawan, Teddy Surya
title Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
title_short Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
title_full Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
title_fullStr Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
title_full_unstemmed Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
title_sort development of photo forensics algorithm by detecting photoshop manipulation using error level analysis
publisher Institute of Advanced Engineering and Science
publishDate 2017
url http://irep.iium.edu.my/58371/
http://irep.iium.edu.my/58371/
http://irep.iium.edu.my/58371/7/58371-Development%20of%20Photo%20Forensics%20Algorithm.pdf
http://irep.iium.edu.my/58371/8/58371-Development%20of%20Photo%20Forensics%20Algorithm_SCOPUS.pdf
first_indexed 2023-09-18T21:22:32Z
last_indexed 2023-09-18T21:22:32Z
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