PENGEMBANGAN METODE BLOCK MATCHING UNTUK DETEKSI COPY-MOVE PADA PEMALSUAN CITRA

Authors

  • Arya Yudhi Wijaya Departemen Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember
  • Said Al Musayyab Departemen Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember
  • Hudan Studiawan Departemen Teknik Informatika, Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember
Views: 912 Downloads: 583 DOI: https://doi.org/10.12962/j24068535.v15i1.a638

Abstract

Pemalsuan citra dengan maksud menutupi sebagian objek pada citra dengan blok lain pada citra yang sama disebut dengan copy-move. Deteksi copy-move pada citra dapat dilakukan pada domain spasial melalui pengolahan pada tiap pikselnya maupun pada domain frekeunsi melalui beberapa fungsi transformasi. Penelitian ini mengusulkan deteksi copy-move pada domain spasial dengan mengembangkan metode block macthing. Metode yang diusulkan terbagi atas dua pendekatan yaitu excact match dan robust match. Pendekatan excact match dimulai dengan: input citra RGB, pengambi-lan blok, penghitungan nilai hash tiap blok, pencarian blok yang mirip dan diakhiri dengan dengan operasi morfologi untuk penghalusan hasil deteksi. Sedangkan pendekatan robust match mirip dengan exact match namun nilai hash diganti dengan Discrete Cosine Transform (DCT). Hasil uji coba menujukkan bahwa pendekatan robust match mendapatkan hasil sedikit lebih baik dibandingkan dengan excact match dimana nilai rata-rata kualitas deteksi 75% dengan kualitas deteksi terbaik sebesar 97%.

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References

[1] Jing, Li, and Chao Shao. "Image Copy-Move Forgery Detecting Based on Local Invariant Feature." Journal of Multimedia, vol. 7, no. 1, pp.90-97, 2012.

[2] B.L.Shivakumar,Lt. Dr. S.Santhosh Baboo”Detecting Copy-Move Forgery in Digital Images: A Survey and Analysis of Current Methods “Global Journal of Computer Science and Technology Vol. 10 Issue 7 Ver. 1.0 September 2010

[3] Yadav, Preeti, and Yogesh Rathore. "Detection of Copy-Move Forgery of Images Using Discrete Wavelet Transform." International Journal on Computer Science and Engineering, vol. 4, no. 4, pp.365-370, April 2012.

[4] Sarah A. Summers, Sarah C. Wahl “Multimedia Securityand Forensics Authentication of Digital mages” http://cs.uccs.edu/~cs525/studentproj/proj52006/sasummer/doc/cs525projsummersWahl.doc

[5] J. Fridrich, D. Soukal, and J. Lukas, “Detection of copymove forgery in digital images,” Proceedings of the Digital Forensic Research Workshop. Cleveland OH, USA, 2003.

[6] A.C.Popescu and H.Farid, “Exposing digital forgeries by detecting duplicated image regions,” Dartmouth College, Hanover, New Hampshire, USA: TR2004-515, 2004.

[7] G.Li, Q.Wu, D.Tu, and Shaojie Sun, “A sorted neighborhood approach for detecting duplicated regions in image forgeries based on DWT and SVD,” IEEE International Conference on Multimedia & Expo, 2007.

[8] P. Albert J. Marcella, Cyber Forensics - A Field Manual of Collectiong, Examining, and Preserving Evidence of Computer Crimes, CRC Press Book, 2002.

[9] J.A. Redi, W. Taktak,J.-L. Dugelay, Digital image forensics: a booklet for beginners, Multimed. Tools Appl. 51 (1) (2011) 133–162.

[10] V. Christlein, C. Riess, J. Jordan, C. Riess dan E. Angelopoulou, “An Evaluation of Popular Copy-Move Forgery Detection Approaches,” IEEE Transactions on Information Forensics and Security, vol. 7, pp. 1841-1854, 2012.

[11] H. Delfs dan H. Knebl, Introduction to Cryptography: Principles and Application Second Edition, Heidelberg: Springer, 2007.

[12] Fitrokhoerani N. dan Atrika Anggraeni, “Penggunaan Metode Heuristik Dan Cyclic Redudancy Check 32 (CRC32) untuk Mendeteksi Kerusakan File,” Seminar Nasional Matematika dan Pendidikan Matematika UNY, 2016.

[13] (FAU) Friedrich-Alexander-Universität Erlangen-Nürnberg, "Image Manipulation Dataset," [Online]. Available: https://www5.cs.fau.de/research/data/image-manipulation/. [Accessed 10 Nov 2016]

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Published

2017-01-01

Issue

Vol 15, No. 1, Januari 2017

Section

Articles

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How to Cite

[1]
A. Y. Wijaya, S. A. Musayyab, and H. Studiawan, “PENGEMBANGAN METODE BLOCK MATCHING UNTUK DETEKSI COPY-MOVE PADA PEMALSUAN CITRA”, JUTI, vol. 15, no. 1, pp. 84–94, Jan. 2017, doi: 10.12962/j24068535.v15i1.a638.