Aplikasi Perlindungan HAKI pada Citra Digital

  • Muhammad Innuddin
Keywords: Redundant Discrete Wavelet Transform (RDWT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), High Low (HL), Scale Factor


Copyright protection is a frequent problem today. One technique that can be used to overcome these problems is watermarking. Watermarking techniques are divided into frequency domains (eg RDWT) and spatial domains (eg SVD). Previous research has been done through the incorporation of watermarking techniques using DWT-SVD with RDWT-SVD. This study is a continuation of previous research through the development of a Two Level Redundant Discrete Wavelet Transform (2D-RDWT) coupling algorithm with Singular Value Decomposition (SVD) as a model for copyright protection against digital imagery. In this algorithm the watermark insertion will be done on the Two Level High Low (HL2) subband with a predetermined scale factor. With this subband insertion it is expected to increase the resilience and resemblance to the protected image so that when authentication of copyright property on a digital image the embedded watermark can be extracted again.


[1] Ansari, M. (2015). Komparasi Metode Hybrid Image Watermarking DWT-SVD dengan RDWT-SVD Untuk Proteksi dan Perlindungan Hak Cipta Pada Citra Digital (Master Theses).Program Studi Teknik Informatika Program Pascasarjana Fakultas Teknik Industri, Universitas Islam Indonesia, Yogyakarta.
[2] Ansari, M., & Prayudi, Y. (2014). Komparasi Metode Hybrid Image Watermarking DWTSVD dengan RDWT-SVD Untuk Proteksi dan Perlindungan Hak Cipta Pada Citra Digital. Cybermatika ITB, 2(2), 23–29. Retrieved from http://cybermatika.stei.itb.ac.id/ojs/index.php /cybermatika/article/view/65
[3] Ariyus, D. (2009). Keamanan Multimedia : Pengenalan Konsep Multimedia, Keamanan Multimedia, Cryptography, Steganography dan Watermarking. Yogyakarta: CV. Andi Offset.
[4] Hidayat, E. Y., & Udayanti, E. D. (2011). Hybrid Watermarking Citra Digital Menggunakan Teknik DWT-DCT dan SVD. Seminar Nasional Teknologi Informasi & Komunikasi Terapan (Semantik).
[5] Hien, T. D., Nakao, Z., & Chen, Y. W. (2005). RDWT / ICA for Image Authentication, 805–810.
[6] Innuddin, M., Sugiantoro, B., & Prayutdi, Y. (2016) Hybrid Image Watermarking Rdwt Dengan Svd Untuk Perlingdungan Hak Cipta Pada Citra Digital. Jurnal Ilmiah DASI STMIK Amikom Yogyakarta. Retrieved from http://ojs.amikom.ac.id/index.php/dasi/articl e/view/1561/1439
[7] Kourkchi, H., & Ghaemmaghami, S. (2008). Image adaptive semi-fragile watermarking scheme based on RDWT-SVD. 2008 International Conference on Innovations in Information Technology, IIT 2008, 130–134. http://doi.org/10.1109/INNOVATIONS.200 8.4781744
[8] Kutter, M., & Petitcola, F. A. P. (1999). A fair benchmark for image watermarking systems. Security and Watermarking of Multimedia Contents The International Society for Optical Engineering The Computer Laboratory, University of Cambridge, 3657, 1–14
[9] Mathworks, C. (2016). MATLAB Documentation. Retrieved from http://www.mathworks.com/help/matlab
[10] Prayudi, Y. (2002). Metode Watermarking Ganda Sebagai Teknik Pengaman Pada Citra Digital (Master Theses). Program Studi Teknik Informatik Program Pascasarjana Institut Teknologi Sepeluh November, Surabaya.
[11] S. M. R. Haque, “Singular Value Decomposition and Discrete Cosine Transform,” School of Engineering Blekinge Institute of Technology Sweden, Sweden, 2008
[12] Seema, & Sharma, S. (2012). DWT-SVD Based Efficient Image Watermarking Algorithm to Achieve High Robustness and Perceptual Quality, 2(4), 2–5.