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Çoklu Görüntü Damgalama Yönteminde Farklı Frekans Bölgelerinin Değerlendirilmesi

Yıl 2018, Cilt: 11 Sayı: 1, 75 - 88, 31.01.2018
https://doi.org/10.17671/gazibtd.338753

Öz

Son yıllarda
internet ve mobil teknolojilerin gelişmesi ile birlikte, çoklu-ortam
dokümanlarının telif hakkının korunması önem kazanmıştır. Sayısal görüntü ve
video gibi çoklu-ortam dokümanlarının korunmasında sayısal damgalama en çok kullanılan
yöntem olmuştur. Bu çalışmada, Ayrık Kosinüs Dönüşümü, Ayrık Dalgacık Dönüşümü
(ADD) ve Arnold Dönüşümü kullanılarak gri-seviyeli görüntü damgalama yöntemi
önerilmiştir. Bu damgalama yönteminde eklenecek damgalar dört eşit parçalara
ayrılmıştır. Saldırılara karşı damgalama yönteminin dayanıklılığını artırmak
için bu parçaların her biri damga eklenecek görüntülerin ADD işlemi sonucunda
elde edilen dört ayrı bantlarının farklı alt bölgelerine gizlenmiştir. ADD
frekans uzayında farklı alt bölgelere damga ekleme işleminde önerilen
gri-seviyeli damgalama yönteminin başarımı damgalanmış görüntülere doğrusal ve
doğrusal olmayan saldırılar uygulanarak değerlendirilmiştir. Bu çalışmada
ayrıca önerilen yöntem ile temel alçak frekans bandına damga ekleme yöntemi karşılaştırılmıştır.
Deneysel sonuçlar önerilen yöntemin saldırılara karşı dayanıklı olduğunu
göstermiştir. Bununla birlikte damgalanmış görüntülerin kalitelerinin korunduğu
da görülmüştür.

Kaynakça

  • V. M. Potdar, S. Han, E. Chang, “A Survey of Digital Image Watermarking Techniques”, 3rd IEEE International Conference on Industrial Informatics (INDIN’05), Perth, WA, Australia, 709-716, 2005.
  • S. Öztürk, Kırılgan ve Dayanıklı Resim Damgalama Tekniklerinin Başarımının Zeki Optimizasyon Yöntemleriyle Artırılması, Doktora Tezi, Erciyes Üniversitesi, Fen Bilimleri Enstitüsü, 2009.
  • H. Tao, L. Chongmin, J. M. Zain, A. N. Abdalla, “Robust Image Watermarking Theories and Techniques: A Review”, Journal of Applied Research and Technology, 12(1), 122-138, 2014.
  • V. Aslantaş, Ş. Özer, S. Öztürk, “Genetik Algoritma ile Ayrık Kosinüs Dönüşümü Tabanlı Yeni Bir Resim Damgalama Tekniği”, IEEE 17. Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU-2009), Antalya, 285-288, 2009.
  • V. Aslantaş, Ş. Özer, S. Öztürk, “Tekil Değer Çıkarma Tabanlı Resim Damgalama Tekniklerinin Karşılaştırılması”, ELECO’2006, Elektrik-Bilgisayar, Bursa, 312-316, 2006.
  • *, “Ayrık Kosinüs Dönüşümü ve Ayrık Dalgacık Dönüşümü Tabanlı Çoklu Resim Damgalama Yöntemi", IDAP 2017, Malatya (kabul edildi).
  • T.K. Tewari, Vikas Saxena “An Improved and Robust DCT based Digital Image Watermarking Scheme”, International Journal of Computer Applications, 3(1), 28-32, 2010.
  • C. Das, S. Panigrahi, V.K. Sharma, K.K. Mahapatra, "A Novel Blind Robust Image Watermarking in DCT Domain Using Inter-block Coefficient Correlation", AEU-International Journal of Electronics and Communications, 68(3), 244-253, 2014.
  • B. Ram, "Digital Image Watermarking Technique Using Discrete Wavelet Transform and Discrete Cosine Transform", International Journal of Advancements in Research & Technology, 2(4), 19-27, 2013.
  • R. Chamlawi, A. Khan, I. Usman, "Authentication and Recovery of Images Using Multiple Watermarks", Computers & Electrical Engineering, 36(3), 578–584, 2010.
  • G. Yuxi, W. Yanmin, "DWT Image Watermarking Algorithm Based on Scrambling Algorithm", World Automation Congress (WAC), Puerto Vallarta, Mexico, 1-4, 2012.
  • A. Ahmad, G.R. Sinha, N. Kashyap, "3-Level DWT Image Watermarking Against Frequency and Geometrical Attacks", I.J. Computer Network and Information Security, 12, 58-63, 2014.
  • A. Akter, N.E. Tajnina, M. A. Ullah, "Digital Image Watermarking Based on DWT-DCT: Evaluate for a New Embedding Algorithm", International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, 1-6, 2014.
  • M.F.M.E. Bireki, M. F. L. Abdullah, A.A.M. Ukasha, A.A. Elrowayati, "Digital Image Watermarking Based On Joint (DCT-DWT) and Arnold Transform", International Journal of Security and Its Applications, 10(5), 107-118, 2016.
  • J. Kaur, N. Singh, C. Jain, "An Improved Image Watermarking Technique Implementing 2-DWT and SVD", IEEE International Conference On Recent Trends In Electronics Information Communication Technology (RTEICT), Bangalore, India, 2016.
  • M.M. Rahman, M.S. Ahammed, M.R. Ahmed, M.N. Izhar, "A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain", The Global Journal of Researches in Engineering (GJRE), 16(7-F), 9-15, 2017.
  • R.S. Run, S.J. Horng, J.L. Lai, T.W. Kao, R.J. Chen, "An Improved SVD-based Watermarking Technique for Copyright Protection", Expert Systems with Applications, 39(1), 673–689, 2012.
  • T. Amiri, M.E. Moghaddam, "A New Visual Cryptography Based Watermarking Scheme Using DWT and SIFT for Multiple Cover Images", Multimedia Tools and Applications, 75(14), 8527–8543, 2016.
  • N. Tiwari, N. Hemrajamani, D. Goyal, "Improved Digital Image Watermarking Algorithm Based on Hybrid DWT-FFT and SVD Techniques", Indian Journal of Science and Technology, 10(3), 1-7, 2017.
  • A.K. Singh, M. Dave, A. Mohan, "Hybrid Technique for Robust and Imperceptible Image Watermarking in DWT–DCT–SVD Domain", National Academy Science Letters, 37(4), 351-358, 2014.
  • Z. Zhang, C. Wang, X. Zhou, "Image Watermarking Scheme Based on Arnold Transform and DWT-DCT-SVD", IEEE 13th International Conference on Signal Processing (ICSP2016), Chengdu, China, 805-810, 2016.
  • R.K. Sheth, V.V. Nath, "Secured Digital Image Watermarking with Discrete Cosine Transform and Discrete Wavelet Transform method", International Conference on Advances in Computing, Communication, & Automation (ICACCA), Dehradun, India, 1-5, 2016.
  • A.K. Jain, Fundamentals of Digital Image Processing, Englewood Cliffs, NJ, Prentice Hall, 1989.
  • M. Kaya, Görüntü Dosyalarında Filigran Kullanarak Telif Haklarının Korunması, Doktora Tezi, Fırat Üniversitesi, Fen Bilimleri Enstitüsü, 2007.
  • S. S. Shankar, A. Rengarajan, “Data Hiding in Encrypted Images Using Arnold Transform”, ICTACT Journal on Image And Video Processing, 7(1), 1339-1344, 2016.
  • C. Pradhan, S. Rath, A.K. Bisoi, "Non Blind Digital Watermarking Technique Using DWT and Cross Chaos", Journal of Procedia Technology, 6(2012), 897-904, 2012.
  • Q. Wang, Q. Ding, Z. Zhang, L. Ding, “Digital Image Encryption Research Based on DWT and Chaos”, Fourth International Conference on Natural Computation (ICNC), Jinan, China, 494-498, 2008.

Evaluation of Different Frequency Regions in Multiple Image Watermarking Method

Yıl 2018, Cilt: 11 Sayı: 1, 75 - 88, 31.01.2018
https://doi.org/10.17671/gazibtd.338753

Öz

— Due to the development of the internet and mobile technologies in recent years, the protection of the copyright
of multimedia documents has become importance. Digital watermarking is the most widely used method for protecting
multimedia documents such as digital image and video. In this study, gray-level image watermarking method is proposed
using Discrete Cosine Transform, Discrete Wavelet Transform (DWT) and Arnold Transform. In this watermarking
method, the watermarks to be embedded are segmented into four equal-sized parts. In order to increase the robustness of
watermarking method against the attacks, each one of these parts have been embedded inside different sub-regions of the
four separate bands that have been obtained as a result of DWT processing of the cover images. The performance of the
proposed gray-level watermarking method for embedding watermarks in different sub regions in DWT frequency domain
has been evaluated by applying linear and nonlinear attacks to the watermarked images. Also, in this study the proposed
method is compared with the basic low frequency band watermarking method. Experimental results have shown that the
proposed method is robust to the attacks. It is also observed that the quality of the watermarked images has been preserved.

Kaynakça

  • V. M. Potdar, S. Han, E. Chang, “A Survey of Digital Image Watermarking Techniques”, 3rd IEEE International Conference on Industrial Informatics (INDIN’05), Perth, WA, Australia, 709-716, 2005.
  • S. Öztürk, Kırılgan ve Dayanıklı Resim Damgalama Tekniklerinin Başarımının Zeki Optimizasyon Yöntemleriyle Artırılması, Doktora Tezi, Erciyes Üniversitesi, Fen Bilimleri Enstitüsü, 2009.
  • H. Tao, L. Chongmin, J. M. Zain, A. N. Abdalla, “Robust Image Watermarking Theories and Techniques: A Review”, Journal of Applied Research and Technology, 12(1), 122-138, 2014.
  • V. Aslantaş, Ş. Özer, S. Öztürk, “Genetik Algoritma ile Ayrık Kosinüs Dönüşümü Tabanlı Yeni Bir Resim Damgalama Tekniği”, IEEE 17. Sinyal İşleme ve İletişim Uygulamaları Kurultayı (SİU-2009), Antalya, 285-288, 2009.
  • V. Aslantaş, Ş. Özer, S. Öztürk, “Tekil Değer Çıkarma Tabanlı Resim Damgalama Tekniklerinin Karşılaştırılması”, ELECO’2006, Elektrik-Bilgisayar, Bursa, 312-316, 2006.
  • *, “Ayrık Kosinüs Dönüşümü ve Ayrık Dalgacık Dönüşümü Tabanlı Çoklu Resim Damgalama Yöntemi", IDAP 2017, Malatya (kabul edildi).
  • T.K. Tewari, Vikas Saxena “An Improved and Robust DCT based Digital Image Watermarking Scheme”, International Journal of Computer Applications, 3(1), 28-32, 2010.
  • C. Das, S. Panigrahi, V.K. Sharma, K.K. Mahapatra, "A Novel Blind Robust Image Watermarking in DCT Domain Using Inter-block Coefficient Correlation", AEU-International Journal of Electronics and Communications, 68(3), 244-253, 2014.
  • B. Ram, "Digital Image Watermarking Technique Using Discrete Wavelet Transform and Discrete Cosine Transform", International Journal of Advancements in Research & Technology, 2(4), 19-27, 2013.
  • R. Chamlawi, A. Khan, I. Usman, "Authentication and Recovery of Images Using Multiple Watermarks", Computers & Electrical Engineering, 36(3), 578–584, 2010.
  • G. Yuxi, W. Yanmin, "DWT Image Watermarking Algorithm Based on Scrambling Algorithm", World Automation Congress (WAC), Puerto Vallarta, Mexico, 1-4, 2012.
  • A. Ahmad, G.R. Sinha, N. Kashyap, "3-Level DWT Image Watermarking Against Frequency and Geometrical Attacks", I.J. Computer Network and Information Security, 12, 58-63, 2014.
  • A. Akter, N.E. Tajnina, M. A. Ullah, "Digital Image Watermarking Based on DWT-DCT: Evaluate for a New Embedding Algorithm", International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, 1-6, 2014.
  • M.F.M.E. Bireki, M. F. L. Abdullah, A.A.M. Ukasha, A.A. Elrowayati, "Digital Image Watermarking Based On Joint (DCT-DWT) and Arnold Transform", International Journal of Security and Its Applications, 10(5), 107-118, 2016.
  • J. Kaur, N. Singh, C. Jain, "An Improved Image Watermarking Technique Implementing 2-DWT and SVD", IEEE International Conference On Recent Trends In Electronics Information Communication Technology (RTEICT), Bangalore, India, 2016.
  • M.M. Rahman, M.S. Ahammed, M.R. Ahmed, M.N. Izhar, "A Semi Blind Watermarking Technique for Copyright Protection of Image Based on DCT and SVD Domain", The Global Journal of Researches in Engineering (GJRE), 16(7-F), 9-15, 2017.
  • R.S. Run, S.J. Horng, J.L. Lai, T.W. Kao, R.J. Chen, "An Improved SVD-based Watermarking Technique for Copyright Protection", Expert Systems with Applications, 39(1), 673–689, 2012.
  • T. Amiri, M.E. Moghaddam, "A New Visual Cryptography Based Watermarking Scheme Using DWT and SIFT for Multiple Cover Images", Multimedia Tools and Applications, 75(14), 8527–8543, 2016.
  • N. Tiwari, N. Hemrajamani, D. Goyal, "Improved Digital Image Watermarking Algorithm Based on Hybrid DWT-FFT and SVD Techniques", Indian Journal of Science and Technology, 10(3), 1-7, 2017.
  • A.K. Singh, M. Dave, A. Mohan, "Hybrid Technique for Robust and Imperceptible Image Watermarking in DWT–DCT–SVD Domain", National Academy Science Letters, 37(4), 351-358, 2014.
  • Z. Zhang, C. Wang, X. Zhou, "Image Watermarking Scheme Based on Arnold Transform and DWT-DCT-SVD", IEEE 13th International Conference on Signal Processing (ICSP2016), Chengdu, China, 805-810, 2016.
  • R.K. Sheth, V.V. Nath, "Secured Digital Image Watermarking with Discrete Cosine Transform and Discrete Wavelet Transform method", International Conference on Advances in Computing, Communication, & Automation (ICACCA), Dehradun, India, 1-5, 2016.
  • A.K. Jain, Fundamentals of Digital Image Processing, Englewood Cliffs, NJ, Prentice Hall, 1989.
  • M. Kaya, Görüntü Dosyalarında Filigran Kullanarak Telif Haklarının Korunması, Doktora Tezi, Fırat Üniversitesi, Fen Bilimleri Enstitüsü, 2007.
  • S. S. Shankar, A. Rengarajan, “Data Hiding in Encrypted Images Using Arnold Transform”, ICTACT Journal on Image And Video Processing, 7(1), 1339-1344, 2016.
  • C. Pradhan, S. Rath, A.K. Bisoi, "Non Blind Digital Watermarking Technique Using DWT and Cross Chaos", Journal of Procedia Technology, 6(2012), 897-904, 2012.
  • Q. Wang, Q. Ding, Z. Zhang, L. Ding, “Digital Image Encryption Research Based on DWT and Chaos”, Fourth International Conference on Natural Computation (ICNC), Jinan, China, 494-498, 2008.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Bilgisayar Yazılımı
Bölüm Makaleler
Yazarlar

Ahmed Khaleel Abdulrahman Bu kişi benim

Serkan Öztürk

Yayımlanma Tarihi 31 Ocak 2018
Gönderilme Tarihi 18 Eylül 2017
Yayımlandığı Sayı Yıl 2018 Cilt: 11 Sayı: 1

Kaynak Göster

APA Abdulrahman, A. K., & Öztürk, S. (2018). Çoklu Görüntü Damgalama Yönteminde Farklı Frekans Bölgelerinin Değerlendirilmesi. Bilişim Teknolojileri Dergisi, 11(1), 75-88. https://doi.org/10.17671/gazibtd.338753