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Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti

Year 2019, Volume: 34 Issue: 3, 1539 - 1548, 29.05.2019
https://doi.org/10.17341/gazimmfd.570422

Abstract

Günümüzde
birçok önemli alanda kullanılan sayısal görüntülerin doğruluğu ve güvenilirliği
büyük önem arz etmektedir. Sayısal görüntü doğrulama yöntemlerinden pasif
yöntemlerin ele aldığı en yaygın sahtecilik türlerinden birisi kopyala yapıştır
sahteciliğidir. Kopyala yapıştır sahteciliğinin gerçekleştirilme kolaylığı, bu
tür sahteciliğin yaygın bir şekilde görülebilmesine neden olmuştur. Yapılan
çalışmada özellikle renkli görüntülerde daha etkin sonuç elde etmek amaçlı bir
kopyala yapıştır sahteciliği tespiti yöntemi önerilmiştir. Yöntemin literatürde
var olan SURF tabanlı yöntem ile karşılaştırılması yapılarak etkinliği rapor
edilmiştir. Bununla birlikte önerilen yöntem ile dönme, Gauss bulanıklaştırma
ve gürültü ekleme ataklarına maruz kalmış sahte görüntülerin tespiti de etkin
bir şekilde gerçekleştirilebilmektedir

References

  • 1. Qureshi, M.A. ve Deriche, M., A bibliography of Pixel-Based Blind Image Forgery Detection Techniques, Signal Processing: Image Communication, 39, 46–74, 2015.
  • 2. Lian, S. ve Kanellopoulos D., Recent Advances in Multimedia Information System Security, Informatica, 33, 3–24, 2009.
  • 3. Om, A. ve Be, K., Passive detection of Copy-Move Forgery in Digital Images: State-of-the-Art, Forensic Science International, 231, 284–295, 2013.
  • 4. Zhang, Z., Zhou, Y., Kang, J., ve Ren, Y., Study of Image Splicing Detection, Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 5226, 1103-1110, 2008.
  • 5. Redi, J.A., Taktak, W. ve Dugelay, J. L., Digital Image Forensics: A Booklet for Beginners, Multimedia Tools Appl., 51 (1), 133–162, 2011.
  • 6. Fridrich, A.J., Soukal, B.D. ve Lukáš, A.J., Detection of Copy-Move Forgery in Digital Images, Digital Forensic Research Workshop (DFRWS), 2003.
  • 7. Popescu, A. ve Farid, H., Exposing Digital Forgeries by Detecting Duplicated Image Regions, Tech. Rep., TR2004-515, Dartmount Collage, 2004.
  • 8. Luo, W., Huang, J. ve Qiu, G., Robust Detection of Region-Duplication Forgery in Digital Images, International Conference on Pattern Recognition, Hong Kong, Bildiriler Kitabı 4, 746–749, Kasım 2009.
  • 9. Mahdian, B. ve Saic, S., Detection of Copy-Move Forgery Using a Method Based on Blur Moment Invariants, Forensic Sci. Int., 171, 180–189, 2007.
  • 10. Kang, X. ve Wei, S., Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics, International Conference on Computer Science and Software Engineering, Wuhan, Hubei, Bildiriler Kitabı: 926–930, Aralık 2008.
  • 11. Huang, Y., Lu, W., Sun, W. ve Long, D., Improved DCT Based Detection of Copy-Move Forgery in Images, Forensic Science International, 206, 178–184, 2011.
  • 12. Bravo-Solorio, S. ve Nandi, A.K., Exposing Duplicated Regions Affected by Reflection, Rotation and Scaling, International Conference on Acoustics, Speech and Signal Processing, Prague, Bildiriler Kitabı: 1880–1883, Mayıs 2011.
  • 13. Li, L., Li, S. ve Zhu, H., An Efficient Scheme for Detecting Copy-Move Forged Images by Local Binary Patterns”, Journal of Information Hiding and Multimedia Signal Processing, 4, 1, 46–56, 2013.
  • 14. Lee, J., Chang, C. ve Chen, W., Detection of Copy–Move Image Forgery Using Histogram of Oriented Gradients, Information Sciences, 321, 250–262, 2015.
  • 15. Huang, H., Guo, W. ve Zhang, Y., Detection of Copy-Move Forgery in Digital Images using SIFT Algorithm, Computational Intelligence and Industrial Application, Computer Society, Wuhan, Bildiriler Kitabı: 272–276, Aralık 2008.
  • 16. Amerini, I., Ballan, L., Caldelli, R., Bimbo, A.D. ve Serra, G., A SIFT-Based Forensic Method For Copy-Move Attack Detection and Transformation Recovery, IEEE Transactions on Information Forensics and Security, 6 (3), 1099–1110, 2011.
  • 17. Xu, B., Wang, J., Liu, G., Li, H. ve Dai, Y., Image Copy-Move Forgery Detection Based on SURF, International Conference on Multimedia Information Networking and Security, Nanjing, Jiangsu, Bildiriler Kitabı: 889–892, Kasım 2010.
  • 18. Zhu, Y., Shen, X. ve Chen, H., Copy-Move Forgery Detection Based on Scaled ORB, Multimedia Tools and Applications, 75 (6), 1-15, 2015.
  • 19. Bay, H., Ess, A., Tuytelaars, T. ve Van Gool, L., SURF: Speeded Up Robust Features, Computer Vision and Image Understanding, 110 (3), 346-359, 2008.
  • 20. Fischler, M.A. ve Bolles, R.C., Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Communications of the ACM, 24 (6), 381–395, 1981.
Year 2019, Volume: 34 Issue: 3, 1539 - 1548, 29.05.2019
https://doi.org/10.17341/gazimmfd.570422

Abstract

References

  • 1. Qureshi, M.A. ve Deriche, M., A bibliography of Pixel-Based Blind Image Forgery Detection Techniques, Signal Processing: Image Communication, 39, 46–74, 2015.
  • 2. Lian, S. ve Kanellopoulos D., Recent Advances in Multimedia Information System Security, Informatica, 33, 3–24, 2009.
  • 3. Om, A. ve Be, K., Passive detection of Copy-Move Forgery in Digital Images: State-of-the-Art, Forensic Science International, 231, 284–295, 2013.
  • 4. Zhang, Z., Zhou, Y., Kang, J., ve Ren, Y., Study of Image Splicing Detection, Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 5226, 1103-1110, 2008.
  • 5. Redi, J.A., Taktak, W. ve Dugelay, J. L., Digital Image Forensics: A Booklet for Beginners, Multimedia Tools Appl., 51 (1), 133–162, 2011.
  • 6. Fridrich, A.J., Soukal, B.D. ve Lukáš, A.J., Detection of Copy-Move Forgery in Digital Images, Digital Forensic Research Workshop (DFRWS), 2003.
  • 7. Popescu, A. ve Farid, H., Exposing Digital Forgeries by Detecting Duplicated Image Regions, Tech. Rep., TR2004-515, Dartmount Collage, 2004.
  • 8. Luo, W., Huang, J. ve Qiu, G., Robust Detection of Region-Duplication Forgery in Digital Images, International Conference on Pattern Recognition, Hong Kong, Bildiriler Kitabı 4, 746–749, Kasım 2009.
  • 9. Mahdian, B. ve Saic, S., Detection of Copy-Move Forgery Using a Method Based on Blur Moment Invariants, Forensic Sci. Int., 171, 180–189, 2007.
  • 10. Kang, X. ve Wei, S., Identifying Tampered Regions Using Singular Value Decomposition in Digital Image Forensics, International Conference on Computer Science and Software Engineering, Wuhan, Hubei, Bildiriler Kitabı: 926–930, Aralık 2008.
  • 11. Huang, Y., Lu, W., Sun, W. ve Long, D., Improved DCT Based Detection of Copy-Move Forgery in Images, Forensic Science International, 206, 178–184, 2011.
  • 12. Bravo-Solorio, S. ve Nandi, A.K., Exposing Duplicated Regions Affected by Reflection, Rotation and Scaling, International Conference on Acoustics, Speech and Signal Processing, Prague, Bildiriler Kitabı: 1880–1883, Mayıs 2011.
  • 13. Li, L., Li, S. ve Zhu, H., An Efficient Scheme for Detecting Copy-Move Forged Images by Local Binary Patterns”, Journal of Information Hiding and Multimedia Signal Processing, 4, 1, 46–56, 2013.
  • 14. Lee, J., Chang, C. ve Chen, W., Detection of Copy–Move Image Forgery Using Histogram of Oriented Gradients, Information Sciences, 321, 250–262, 2015.
  • 15. Huang, H., Guo, W. ve Zhang, Y., Detection of Copy-Move Forgery in Digital Images using SIFT Algorithm, Computational Intelligence and Industrial Application, Computer Society, Wuhan, Bildiriler Kitabı: 272–276, Aralık 2008.
  • 16. Amerini, I., Ballan, L., Caldelli, R., Bimbo, A.D. ve Serra, G., A SIFT-Based Forensic Method For Copy-Move Attack Detection and Transformation Recovery, IEEE Transactions on Information Forensics and Security, 6 (3), 1099–1110, 2011.
  • 17. Xu, B., Wang, J., Liu, G., Li, H. ve Dai, Y., Image Copy-Move Forgery Detection Based on SURF, International Conference on Multimedia Information Networking and Security, Nanjing, Jiangsu, Bildiriler Kitabı: 889–892, Kasım 2010.
  • 18. Zhu, Y., Shen, X. ve Chen, H., Copy-Move Forgery Detection Based on Scaled ORB, Multimedia Tools and Applications, 75 (6), 1-15, 2015.
  • 19. Bay, H., Ess, A., Tuytelaars, T. ve Van Gool, L., SURF: Speeded Up Robust Features, Computer Vision and Image Understanding, 110 (3), 346-359, 2008.
  • 20. Fischler, M.A. ve Bolles, R.C., Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Communications of the ACM, 24 (6), 381–395, 1981.
There are 20 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Makaleler
Authors

Gül Muzaffer 0000-0002-8828-5674

Güzin Ulutaş This is me 0000-0001-5729-6613

Publication Date May 29, 2019
Submission Date July 26, 2016
Acceptance Date October 16, 2018
Published in Issue Year 2019 Volume: 34 Issue: 3

Cite

APA Muzaffer, G., & Ulutaş, G. (2019). Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 34(3), 1539-1548. https://doi.org/10.17341/gazimmfd.570422
AMA Muzaffer G, Ulutaş G. Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti. GUMMFD. May 2019;34(3):1539-1548. doi:10.17341/gazimmfd.570422
Chicago Muzaffer, Gül, and Güzin Ulutaş. “Renkli SURF Tabanlı Kopyala yapıştır sahteciliği Tespiti”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34, no. 3 (May 2019): 1539-48. https://doi.org/10.17341/gazimmfd.570422.
EndNote Muzaffer G, Ulutaş G (May 1, 2019) Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34 3 1539–1548.
IEEE G. Muzaffer and G. Ulutaş, “Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti”, GUMMFD, vol. 34, no. 3, pp. 1539–1548, 2019, doi: 10.17341/gazimmfd.570422.
ISNAD Muzaffer, Gül - Ulutaş, Güzin. “Renkli SURF Tabanlı Kopyala yapıştır sahteciliği Tespiti”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 34/3 (May 2019), 1539-1548. https://doi.org/10.17341/gazimmfd.570422.
JAMA Muzaffer G, Ulutaş G. Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti. GUMMFD. 2019;34:1539–1548.
MLA Muzaffer, Gül and Güzin Ulutaş. “Renkli SURF Tabanlı Kopyala yapıştır sahteciliği Tespiti”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, vol. 34, no. 3, 2019, pp. 1539-48, doi:10.17341/gazimmfd.570422.
Vancouver Muzaffer G, Ulutaş G. Renkli SURF tabanlı kopyala yapıştır sahteciliği tespiti. GUMMFD. 2019;34(3):1539-48.