Research Article
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Year 2022, Volume: 12 Issue: 2, 105 - 118, 31.12.2022
https://doi.org/10.55024/buyasambid.1093220

Abstract

References

  • Alamro L. and Nooraini Y. (2017) Copy-move forgery detection using integrated DWT and SURF, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9, pp. 67-71.
  • Deshpande P. and Kanikar P. (2012) Pixel Based Image Forgery Detection Techniques, International Journal of Engineering Research and Applications, Vol. (2)3, pp.539-543.
  • Gulivindala S. and Rao C.S. (2013) Tampering Detection Algorithms: A Comparative Study, International Journal of Engineering Research and Development, e-ISSN: 2278-067X, p-ISSN: 2278-800X, Vol. (7)5, pp. 82-86.
  • Macit H.B. and Koyun A. (2019) Tamper Detection and Recovery on RGB Images, International Conference on Artificial Intelligence and Applied Mathematics in Engineering, pp. 972-981, DOI: 10.1007/978-3-030-36178-5_86.
  • Mishra M. and Adhikary M.C. (2013) Digital Image Tamper Detection Techniques - A Comprehensive Study, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108, Vol. (2)1.
  • Qureshi M.A. and Deriche M. (2015) A bibliography of pixel-based blind image forgery detection techniques, Signal Processing: Image Communication, Vol. 39, pp. 46-74, DOI:10.1016/j.image.2015.08.008.
  • Senekane M., Mafu M., Maseli M. and Taleme B.M. (2021) A quantum algorithm for single parity check code, IEEE 2021 Africon, DOI: 10.1109/AFRICON51333.2021.9570857.
  • Shashidhar T.M. and Ramesh K.B. (2017) Reviewing the Effectivity Factor in Existing Techniques of Image Forensics, International Journal of Electrical and Computer Engineering, Vol. (7)6, pp.3558-3569, ISSN: 2088-8708, DOI: 10.11591/ijece.v7i6.pp3558-3569.
  • Stoilov P.S., Hristov G. and Zahariev P. (2021) Analysis Of The Least Significant Bit Subtitution Algorithm For Image Stenography, Proceedings Of University Of Ruse, Vol. 60, Book. 3.2, pp. 207-213.
  • Şahin A., Buluş E. and Sakallı M.T. (2006) 24-Bit Renkli Resimler Üzerinde En Önemsiz Bite Ekleme Yöntemini Kullanarak Bilgi Gizleme, Trakya Univ J Sci, Vol. 7(1), pp. 17-22, ISSN 1305-6468.
  • Taha B.T., Ngadiran R., Ehkan P. and Sultan M.T. (2018) Image Tamper Detection and Recovery Using Lifting Scheme Based Fragile Watermarking”, Journal of Theoretical and Applied Information Technology, Vol. (96)8, ISSN: 1992-8645.
  • Wang M.S. and Chen W.C. (2007) A majority-voting based watermarking scheme for color image tamper detection and recovery, Computer Standards & Interfaces, Vol. 29, pp. 561–570.
  • Vaishnavi D. and Subashini T.S. (2015) Image Tamper Detection based on Edge Image and Chaotic Arnold Map, Indian Journal of Science and Technology, Vol. (8)6, pp. 548–555.
  • Yeap Y.Y., Sheikh U.U. and Rahman A. (2018) Image forensic for digital image copy move forgery detection, IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), DOI:10.1109/CSPA.2018.8368719.
  • Zulfira F., Nuha H.H., Sudiharto D.W. and Utomo R.G. (2021) Modified Bit Parity Technique for Error Detection of 8 Bit Data, Proceedings of 9’th International Conference on Information and Communication Technology, pp. 517-521.
Year 2022, Volume: 12 Issue: 2, 105 - 118, 31.12.2022
https://doi.org/10.55024/buyasambid.1093220

Abstract

References

  • Alamro L. and Nooraini Y. (2017) Copy-move forgery detection using integrated DWT and SURF, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9, pp. 67-71.
  • Deshpande P. and Kanikar P. (2012) Pixel Based Image Forgery Detection Techniques, International Journal of Engineering Research and Applications, Vol. (2)3, pp.539-543.
  • Gulivindala S. and Rao C.S. (2013) Tampering Detection Algorithms: A Comparative Study, International Journal of Engineering Research and Development, e-ISSN: 2278-067X, p-ISSN: 2278-800X, Vol. (7)5, pp. 82-86.
  • Macit H.B. and Koyun A. (2019) Tamper Detection and Recovery on RGB Images, International Conference on Artificial Intelligence and Applied Mathematics in Engineering, pp. 972-981, DOI: 10.1007/978-3-030-36178-5_86.
  • Mishra M. and Adhikary M.C. (2013) Digital Image Tamper Detection Techniques - A Comprehensive Study, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108, Vol. (2)1.
  • Qureshi M.A. and Deriche M. (2015) A bibliography of pixel-based blind image forgery detection techniques, Signal Processing: Image Communication, Vol. 39, pp. 46-74, DOI:10.1016/j.image.2015.08.008.
  • Senekane M., Mafu M., Maseli M. and Taleme B.M. (2021) A quantum algorithm for single parity check code, IEEE 2021 Africon, DOI: 10.1109/AFRICON51333.2021.9570857.
  • Shashidhar T.M. and Ramesh K.B. (2017) Reviewing the Effectivity Factor in Existing Techniques of Image Forensics, International Journal of Electrical and Computer Engineering, Vol. (7)6, pp.3558-3569, ISSN: 2088-8708, DOI: 10.11591/ijece.v7i6.pp3558-3569.
  • Stoilov P.S., Hristov G. and Zahariev P. (2021) Analysis Of The Least Significant Bit Subtitution Algorithm For Image Stenography, Proceedings Of University Of Ruse, Vol. 60, Book. 3.2, pp. 207-213.
  • Şahin A., Buluş E. and Sakallı M.T. (2006) 24-Bit Renkli Resimler Üzerinde En Önemsiz Bite Ekleme Yöntemini Kullanarak Bilgi Gizleme, Trakya Univ J Sci, Vol. 7(1), pp. 17-22, ISSN 1305-6468.
  • Taha B.T., Ngadiran R., Ehkan P. and Sultan M.T. (2018) Image Tamper Detection and Recovery Using Lifting Scheme Based Fragile Watermarking”, Journal of Theoretical and Applied Information Technology, Vol. (96)8, ISSN: 1992-8645.
  • Wang M.S. and Chen W.C. (2007) A majority-voting based watermarking scheme for color image tamper detection and recovery, Computer Standards & Interfaces, Vol. 29, pp. 561–570.
  • Vaishnavi D. and Subashini T.S. (2015) Image Tamper Detection based on Edge Image and Chaotic Arnold Map, Indian Journal of Science and Technology, Vol. (8)6, pp. 548–555.
  • Yeap Y.Y., Sheikh U.U. and Rahman A. (2018) Image forensic for digital image copy move forgery detection, IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), DOI:10.1109/CSPA.2018.8368719.
  • Zulfira F., Nuha H.H., Sudiharto D.W. and Utomo R.G. (2021) Modified Bit Parity Technique for Error Detection of 8 Bit Data, Proceedings of 9’th International Conference on Information and Communication Technology, pp. 517-521.

RGB Görüntüler İçin Düşük Maliyetli Bir Görüntü Tahrif Tespiti Yöntemi Uygulaması

Year 2022, Volume: 12 Issue: 2, 105 - 118, 31.12.2022
https://doi.org/10.55024/buyasambid.1093220

Abstract

Gelişen teknoloji sayesinde internet üzerinde çok sayıda görüntü transfer edilebilmektedir. Bu görüntülerin büyük çoğunluğu sosyal medya platformlarına yükleniyor ve düşük düzeyde mahremiyete sahip. Dijital görüntülere erişimin kolay olması ve görüntünün kolayca tahrif edilebilmesi nedeniyle, manipüle edilmiş görüntüler çeşitli sahtecilik ve dolandırıcılık yöntemlerinde kullanılabilmektedir. Sayısal görüntünün orijinal mi yoksa tahrifli edilmiş mi olduğunu belirlemek için literatürde çeşitli algoritmalar önerilmiştir. Bu çalışmada, basit ve düşük işlem karmaşıklığına sahip bir hata tespit mekanizması olan çift eşlik biti yöntemi, 3 katmanlı renkli görüntülerin katman verilerine steganografik bir yaklaşımla uygulanmakta ve sayısal görüntülerde manipülasyonun tespit edilmesi amaçlanmaktadır.

References

  • Alamro L. and Nooraini Y. (2017) Copy-move forgery detection using integrated DWT and SURF, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9, pp. 67-71.
  • Deshpande P. and Kanikar P. (2012) Pixel Based Image Forgery Detection Techniques, International Journal of Engineering Research and Applications, Vol. (2)3, pp.539-543.
  • Gulivindala S. and Rao C.S. (2013) Tampering Detection Algorithms: A Comparative Study, International Journal of Engineering Research and Development, e-ISSN: 2278-067X, p-ISSN: 2278-800X, Vol. (7)5, pp. 82-86.
  • Macit H.B. and Koyun A. (2019) Tamper Detection and Recovery on RGB Images, International Conference on Artificial Intelligence and Applied Mathematics in Engineering, pp. 972-981, DOI: 10.1007/978-3-030-36178-5_86.
  • Mishra M. and Adhikary M.C. (2013) Digital Image Tamper Detection Techniques - A Comprehensive Study, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108, Vol. (2)1.
  • Qureshi M.A. and Deriche M. (2015) A bibliography of pixel-based blind image forgery detection techniques, Signal Processing: Image Communication, Vol. 39, pp. 46-74, DOI:10.1016/j.image.2015.08.008.
  • Senekane M., Mafu M., Maseli M. and Taleme B.M. (2021) A quantum algorithm for single parity check code, IEEE 2021 Africon, DOI: 10.1109/AFRICON51333.2021.9570857.
  • Shashidhar T.M. and Ramesh K.B. (2017) Reviewing the Effectivity Factor in Existing Techniques of Image Forensics, International Journal of Electrical and Computer Engineering, Vol. (7)6, pp.3558-3569, ISSN: 2088-8708, DOI: 10.11591/ijece.v7i6.pp3558-3569.
  • Stoilov P.S., Hristov G. and Zahariev P. (2021) Analysis Of The Least Significant Bit Subtitution Algorithm For Image Stenography, Proceedings Of University Of Ruse, Vol. 60, Book. 3.2, pp. 207-213.
  • Şahin A., Buluş E. and Sakallı M.T. (2006) 24-Bit Renkli Resimler Üzerinde En Önemsiz Bite Ekleme Yöntemini Kullanarak Bilgi Gizleme, Trakya Univ J Sci, Vol. 7(1), pp. 17-22, ISSN 1305-6468.
  • Taha B.T., Ngadiran R., Ehkan P. and Sultan M.T. (2018) Image Tamper Detection and Recovery Using Lifting Scheme Based Fragile Watermarking”, Journal of Theoretical and Applied Information Technology, Vol. (96)8, ISSN: 1992-8645.
  • Wang M.S. and Chen W.C. (2007) A majority-voting based watermarking scheme for color image tamper detection and recovery, Computer Standards & Interfaces, Vol. 29, pp. 561–570.
  • Vaishnavi D. and Subashini T.S. (2015) Image Tamper Detection based on Edge Image and Chaotic Arnold Map, Indian Journal of Science and Technology, Vol. (8)6, pp. 548–555.
  • Yeap Y.Y., Sheikh U.U. and Rahman A. (2018) Image forensic for digital image copy move forgery detection, IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), DOI:10.1109/CSPA.2018.8368719.
  • Zulfira F., Nuha H.H., Sudiharto D.W. and Utomo R.G. (2021) Modified Bit Parity Technique for Error Detection of 8 Bit Data, Proceedings of 9’th International Conference on Information and Communication Technology, pp. 517-521.

Implementation of a Low-Cost Tamper Detection Method for RGB Images

Year 2022, Volume: 12 Issue: 2, 105 - 118, 31.12.2022
https://doi.org/10.55024/buyasambid.1093220

Abstract

Thanks to the developing technology, a large number of images are transferred on the internet. The vast majority of these images are uploaded to social media platforms and have a low level of privacy. Due to the ease of access to digital images and the fact that the image can be easily tampered with, manipulated images can be used in various forgery and fraud methods. Various algorithms have been proposed in the literature to determine whether the digital image is original or tampered. In this study, the even parity bit method, which is a very simple and low-complex error detection mechanism, is applied to the layer data of 3-layer color images with a steganographic approach and it is aimed to detect tampering in digital images.

References

  • Alamro L. and Nooraini Y. (2017) Copy-move forgery detection using integrated DWT and SURF, Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9, pp. 67-71.
  • Deshpande P. and Kanikar P. (2012) Pixel Based Image Forgery Detection Techniques, International Journal of Engineering Research and Applications, Vol. (2)3, pp.539-543.
  • Gulivindala S. and Rao C.S. (2013) Tampering Detection Algorithms: A Comparative Study, International Journal of Engineering Research and Development, e-ISSN: 2278-067X, p-ISSN: 2278-800X, Vol. (7)5, pp. 82-86.
  • Macit H.B. and Koyun A. (2019) Tamper Detection and Recovery on RGB Images, International Conference on Artificial Intelligence and Applied Mathematics in Engineering, pp. 972-981, DOI: 10.1007/978-3-030-36178-5_86.
  • Mishra M. and Adhikary M.C. (2013) Digital Image Tamper Detection Techniques - A Comprehensive Study, International Journal of Computer Science and Business Informatics, ISSN: 1694-2108, Vol. (2)1.
  • Qureshi M.A. and Deriche M. (2015) A bibliography of pixel-based blind image forgery detection techniques, Signal Processing: Image Communication, Vol. 39, pp. 46-74, DOI:10.1016/j.image.2015.08.008.
  • Senekane M., Mafu M., Maseli M. and Taleme B.M. (2021) A quantum algorithm for single parity check code, IEEE 2021 Africon, DOI: 10.1109/AFRICON51333.2021.9570857.
  • Shashidhar T.M. and Ramesh K.B. (2017) Reviewing the Effectivity Factor in Existing Techniques of Image Forensics, International Journal of Electrical and Computer Engineering, Vol. (7)6, pp.3558-3569, ISSN: 2088-8708, DOI: 10.11591/ijece.v7i6.pp3558-3569.
  • Stoilov P.S., Hristov G. and Zahariev P. (2021) Analysis Of The Least Significant Bit Subtitution Algorithm For Image Stenography, Proceedings Of University Of Ruse, Vol. 60, Book. 3.2, pp. 207-213.
  • Şahin A., Buluş E. and Sakallı M.T. (2006) 24-Bit Renkli Resimler Üzerinde En Önemsiz Bite Ekleme Yöntemini Kullanarak Bilgi Gizleme, Trakya Univ J Sci, Vol. 7(1), pp. 17-22, ISSN 1305-6468.
  • Taha B.T., Ngadiran R., Ehkan P. and Sultan M.T. (2018) Image Tamper Detection and Recovery Using Lifting Scheme Based Fragile Watermarking”, Journal of Theoretical and Applied Information Technology, Vol. (96)8, ISSN: 1992-8645.
  • Wang M.S. and Chen W.C. (2007) A majority-voting based watermarking scheme for color image tamper detection and recovery, Computer Standards & Interfaces, Vol. 29, pp. 561–570.
  • Vaishnavi D. and Subashini T.S. (2015) Image Tamper Detection based on Edge Image and Chaotic Arnold Map, Indian Journal of Science and Technology, Vol. (8)6, pp. 548–555.
  • Yeap Y.Y., Sheikh U.U. and Rahman A. (2018) Image forensic for digital image copy move forgery detection, IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA), DOI:10.1109/CSPA.2018.8368719.
  • Zulfira F., Nuha H.H., Sudiharto D.W. and Utomo R.G. (2021) Modified Bit Parity Technique for Error Detection of 8 Bit Data, Proceedings of 9’th International Conference on Information and Communication Technology, pp. 517-521.
There are 15 citations in total.

Details

Primary Language English
Subjects Mechanical Engineering
Journal Section Research Article
Authors

Hüseyin Bilal Macit 0000-0002-5325-5416

Publication Date December 31, 2022
Submission Date March 25, 2022
Acceptance Date September 5, 2022
Published in Issue Year 2022 Volume: 12 Issue: 2

Cite

APA Macit, H. B. (2022). Implementation of a Low-Cost Tamper Detection Method for RGB Images. Batman Üniversitesi Yaşam Bilimleri Dergisi, 12(2), 105-118. https://doi.org/10.55024/buyasambid.1093220