Non-Blind Watermarking Menggunakan Discrete dan Wavelet Transform

Daurat Sinaga; Cahaya Jatmoko

doi:10.14710/jmasif.13.1.43714

DOI: https://doi.org/10.14710/jmasif.13.1.43714

Non-Blind Watermarking Menggunakan Discrete dan Wavelet Transform

Daurat Sinaga , Cahaya Jatmoko

Universitas Dian Nuswantoro, Indonesia

Received: 30 Dec 2021; Revised: 3 May 2022; Accepted: 9 May 2022; Available online: 27 May 2022; Published: 27 May 2022.

Editor(s): Guruh Aryotejo

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:

Abstract

Pada zaman sekarang orang mudah untuk mengakses internet sehingga semua orang dapat memperoleh suatu karya seni digital seperti gambar dengan mudah, kemudian seseorang dapat memodifikasi dan menyebarkan kembali karya tersebut tanpa izin atau tanpa memberikan sumber originalnya. Pada masalah ini dibutuhkan upaya untuk memberikan watermark yang tidak terlihat sehingga tidak mudah untuk menghilangkan watermark gambar tersebut, menggunakan kombinasi DCT dan DWT 1 level untuk memberikan watermark secara tak terlihat pada suatu karya seni. Dari metode kombinasi DCT-DWT diperoleh dengan gambar watermark 64x64 nilai PSNR 39.1529 dB dari hasil tersebut dapat disimpulkan bahwa metode kombinasi DCT-DWT mendapatkan nilai imperceptibility yang baik. Ketahanan gambar diuji dari berbagai proses maipulasi gambar seperti noise, filter, kompresi JPG, dan lain-lain. Hasil dari manipulasi gambar mendapatkan rata-rata NCC bernilai lebih dari 0.6 sehingga dapat disimpulkan metode DCT-DWT tahan (robust) terhadap beberapa serangan citra.

Fulltext View|Download

Keywords: imperceptibility; robust; metode kombinasi DCT-DWT; watermark

Article Metrics:

Article Info

Section: Research Article

Language : ID

In Vol 13, No 1 (2022): JURNAL MASYARAKAT INFORMATIKA

Recent articles

Non-Blind Watermarking Menggunakan Discrete dan Wavelet Transform Penerapan Convolutional Neural Network Untuk Klasifikasi Tingkat Keparahan Retinopati Diabetik Pada Penderita Diabetes Melitus Perbandingan Metode Ensemble Learning pada Klasifikasi Penyakit Diabetes More recent articles

Most cited articles

ANALISA PERFORMA METODE COSINE DAN JACARD PADA PENGUJIAN KESAMAAN DOKUMEN Studi Komparasi Ekstraksi Fitur pada Pengenalan Wajah Menggunakan Principal Component Analysis (PCA) dan Wavelet Daubechies ALGORITMA BACK PROPAGATION NEURAL NETWORK UNTUK PENGENALAN POLA KARAKTER HURUF JAWA PENYELESAIAN MASALAH JOB SHOP MENGGUNAKAN ALGORITMA GENETIKA KLASIFIKASI UCAPAN KATA DENGAN SUPPORT VECTOR MACHINE More cited articles

S. Ameliola and H. D. Nugraha, “Perkembangan Media Informasi Dan Teknologi Terhadap Anak Dalam Era Globalisasi,” Int. Conf. Indones. Stud. “Ethnicity Glob., vol. 2, p. 400, 2015
H. Santoso, “Pencegahan Dan Penaggulangan Plagiarisme Dalam Penulisan Karya Ilmiah Di Lingkungan Perpustakaan Perguruan Tinggi,” Univesitas Negeri Malang, no. 1, pp. 1–23, 2015
M. F. R. P, G. Budiman, and I. N. A. R, “Perancangan Teknik Digital Audio Watermarking Berbasis Metode Discrete,” e-Proceeding Eng., vol. 3, no. 3, pp. 4530–4536, 2016
K. W. Handito and D. Rosiyadi, “Perlindungan Rekam Medis Berbasis Robust Watermarking pada Citra Medis Digital Menggunakan Metode DWT-DCT dan Optimasi dengan GA 2 Studi Terkait,” e-Proceeding Eng., vol. 5, no. 1, pp. 1668–1677, 2018
N. Anisah, B. Harjito, and E. Suryani, “Digital Watermarking Image dengan Menggunakan Discrete Wavelet Transform dan Singular Value Decomposition ( DWT-SVD ) untuk Copyright Labeling,” J. ITSMART, vol. 4, no. 1, pp. 12–19, 2015
Andri, N. P. Wong, and J. Fransiscus, “Aplikasi Algoritma Semi – Fragile Image Watermarking Berdasarkan Pada Region,” JSM STMIK Mikroskil, vol. 15, no. 1, pp. 21–30, 2014
C. A. Sari, T. S. Sukamto, and E. H. Rachmawanto, “Analisa Robustness Citra Digital Pada Watermarking DCT-DWT,” Pros. SNST, vol. 1, no. 1, pp. 121–124, 2018
P. Singh and R. S. Chadha, “A Survey of Digital Watermarking Techniques, Applications and Attacks,” Int. J. Eng. Innov. Technol., vol. 2, no. 9, pp. 165–175, 2013, doi: 10.1109/INDIN.2005.1560462
S. L. Agrwal, A. Yadav, U. Kumar, and S. K. Gupta, “Improved Invisible Watermarking Technique Using,” Int. Conf. Reliab. Infocom Technol. Optim. (Trends Futur. Dir., vol. 5, pp. 7–9, 2016
K. J. Giri, M. A. Peer, and P. Nagabhushan, “A Robust Color Image Watermarking Scheme Using Discrete Wavelet Transformation,” I.J. Image, Graph. Signal Process., no. 1, pp. 47–52, 2015, doi: 10.5815/ijigsp.2015.01.06
D. Bansal and M. Mathuria, “Color Image Dual Watermarking using DCT and DWT Combine Approach,” Int. Conf. Trends Electron. Informatics ICEI, pp. 630–634, 2017
M. Kismanto and D. P. N. Andono, “Analisa Discrete Cosine Transform Pada Kompresi Underwater Image,” pp. 1–7, 2015
W. Sipayung, “Perancangan Citra Watermaking Pada Citra Digital Menggunakan Metode Discrete Cosine Transform ( DCT ),” Pelita Inform. Budi Darma, vol. 7, no. 3, pp. 104–107, 2014
M. Ansari and Y. Prayudi, “Komparasi Metode Hybrid Image Watermarking DWT-SVD dengan RDWT-SVD Untuk Proteksi dan Perlindungan Hak Cipta Pada Citra Digital,” vol. 2, no. 2, pp. 23–29, 2014
S. Sood, “Digital Watermarking Using Hybridization of Optimization Techniques : A Review,” Int. J. Comput. Sci. Inf. Technol., vol. 5, no. 4, pp. 5249–5251, 2014
I. Maulana and P. N. Andono, “Analisa Perbandingan Adaptif Median Filter Dan Median Filter Dalam Reduksi Noise Salt & Pepper,” Cogito Smart J., vol. 2, no. 2, pp. 157–166, 2016
L. K. Saini and V. Shrivastava, “Analysis of Attacks on Hybrid DWT-DCT Algorithm for Digital Image Watermarking With MATLAB,” Int. J. Comput. Sci. Trends Technol., vol. 2, no. 3, pp. 123–126, 2014
O. Intani, B. Hidayat, and S. A. Wibowo, “ANALISIS METODE CONNECTED VERTICES CLUSTERING AND STAR TOPOLOGY PADA SERANGAN GEOMETRI TERHADAP WATERMARKING OBJEK 3D,” J. Penelit. dan Pengemb. Telekomun., vol. 1, no. 1, pp. 46–53, 2016
S. Kaur, “Noise Types and Various Removal Techniques,” Int. J. Adv. Res. Electron. Commun. Eng., vol. 4, no. 2, pp. 226–230, 2015
A. Susanto, C. A. Sari, D. R. Ign, M. Setiadi, and E. H. Rachmawanto, “Uji Performa Watermarking 256x256 Citra Keabuan Dengan Least Significant Bit,” Pros. SNATIF, vol. 4, pp. 9–13, 2017
F. Saeed, “A Blind Watermarking Algorithm Based On DCT-DWT and ARNOLD Transform,” Int. J. Comput. Sci. Eng., vol. 2, no. 06, pp. 328–334, 2013
C. Muntachib, R. D. Atmaja, and B. Hidayat, “Metode Steganografi Penyisipan Karakter dengan Teknik LSB dan Penempatan Bit mengikuti Langkah Kuda Catur ( L-Shape ),” Semin. Nas. Inov. DAN Apl. Teknol. DI Ind., pp. 134–139, 2016
Q. Su, G. Wang, X. Zhang, G. Lv, and B. Chen, “An improved color image watermarking algorithm based on QR decomposition,” Multimed. Tools Appl., vol. 76, no. 1, pp. 707–729, 2017, doi: 10.1007/s11042-015-3071-x
T. Kasihno and Murinto, “Implementasi Watermarking pada Citra Digital Menggunakan Teknik Discrete Fourier Transform ( DFT ) dan Singular Value Decomposition ( SVD ) ( Implementation of Watermarking in Digital Image Using Discrete Fourier Transform ( DFT ) Technique and Singular V,” JUITA, vol. V, no. 1, pp. 31–37, 2017
Kurniawan, I. A. Siradjuddin, and A. Muntasa, “Keamanan Citra Dengan Watermarking Menggunakan Pengembangan Algoritma Least Significant Bit,” J. Inform., vol. 13, no. 1, pp. 9–14, 2016, doi: 10.9744/informatika.13.1.9-14
A. Kumar, S. Basant, and K. Mayank, “Robust and Imperceptible Dual Watermarking for Telemedicine Applications,” Wirel. Pers Commun, vol. 80, no. 4, pp. 1415–1433, 2015, doi: 10.1007/s11277-014-2091-6
V. S. Verman and R. K. Jha, “Improved watermarking technique based on significant difference of lifting wavelet coefficients,” vol. 9, no. 6, pp. 1443–1450, 2014, doi: 10.1007/s11760-013-0603-6

Last update:

No citation recorded.

Last update: 2024-11-20 21:34:01

No citation recorded.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

The authors who submit the manuscript must understand that the article's copyright belongs to the author(s) if accepted for publication. However, the author(s) grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors should also understand that their article (and any additional files, including data sets, and analysis/computation data) will become publicly available once published under that license. See our copyright policy. By submitting the manuscript to Jmasif, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that:

their article is original, written by the mentioned author(s),
has never been published before,
does not contain statements that violate the law, and
does not violate the rights of others, is subject to copyright held exclusively by the author(s), is free from the rights of third parties, and the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

Copyright and other proprietary rights related to the article, such as patents,
The right to use the substance of the article in its own future works, including lectures and books,
The right to reproduce the article for its own purposes,
The right to archive all versions of the article in any repository, and
The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of the article (for example, posting them to institutional repositories or publishing them in a book), acknowledging its initial publication in this journal (Jurnal Masyarakat Informatika).

Suppose the article was prepared jointly by more than one author. Each author submitting the manuscript warrants that all co-authors have given their permission to agree to copyright and license notices (agreements) on their behalf and notify co-authors of the terms of this policy. Jmasif will not be held responsible for anything arising because of the writer's internal dispute. Jmasif will only communicate with correspondence authors.

Authors should also understand that their articles (and any additional files, including data sets and analysis/computation data) will become publicly available once published. The license of published articles (and additional data) will be governed by a Creative Commons Attribution-ShareAlike 4.0 International License. Jmasif allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and Jmasif to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.