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Çok Seviyeli DWT Görüntü Damgalamada Çözünürlük ve Damga Gücünün Etkisi

Yıl 2024, Cilt: 12 Sayı: 2, 1178 - 1191, 29.04.2024
https://doi.org/10.29130/dubited.1246175

Öz

İnternetin yaygınlaşması ve depolama maliyetlerinin azalması ile çok sayıda medya dijital ortama taşınmıştır. Bu durum, dijital medyaların güvenliğini ve güvenilirliğini azaltmaktadır. Medya üreticileri, fikri mülkiyet haklarının korunması için dijital damgalama yöntemlerini kullanırlar. Bu çalışma, damgalama için frekans dönüşüm yöntemlerinden biri olan dalgacık dönüşümüne odaklanmaktadır. Damgalama işlemi için dalgacık dönüşümü genellikle tek seviyede elde edilen dört alt banttan biri üzerinde uygulanır. Bu çalışmada damgalama işlemi, 1., 2. ve 3. seviye olmak üzere toplam 12 alt bantta gerçekleştirildi. Ayrıca dijital görüntü damgalanması için bir performans değerlendirme metriği sunuldu. Bu değerlendirme 46 farklı çözünürlük üzerinde 10 farklı damga dayanım faktörü kullanılarak uygulandı. Test için Ultra High-definition Demoiréing Dataset kullanıldı. 22080 iterasyon sonucunda elde edilen matematiksel sonuçlar tablo ve grafikler ile gösterildi ve kapak görüntü çözünürlük değeri ile alt-bant arasındaki performans ilişkileri yorumlandı.

Kaynakça

  • [1] W.H. Jing, “A DCT domain image watermarking method based on Matlab,” Int. J. Adv. Netw. Monit. Control, vol. 2, no. 2, pp. 38-45, 2017.
  • [2] F. Ernawan, D. Ariatmanto and A. Firdaus, “An improved image watermarking by modifying selected DWT-DCT coefficients,” in IEEE Access, vol. 9, pp. 45474-45485, 2021.
  • [3] H.B. Macit, “Mobil cihaz görüntüleri için entropi tabanlı kırılgan damgalama metodu geliştirilmesi,” Ph.D. dissertation, Comput. Eng., Süleyman Demirel Univ., Isparta, Turkey, 2019.
  • [4] D. Haueter, “Worldwide image capture forecast,” Rise Above Research, pp. 2021 – 2026, 2022.
  • [5] A.K. Abdulrahman and S. Öztürk, “A novel hybrid DCT and DWT based robust watermarking algorithm for color images,” Multimed. Tools and Appl., vol. 78, pp. 17027-17049, 2019.
  • [6] J. Liu, J. Huang, Y. Luo, L. Cao, S. Yang, D. Wei and R. Zhou, “An optimized image watermarking method based on HD and SVD in DWT domain,” in IEEE Access, vol. 7, pp. 80849-80860, 2019.
  • [7] S. Kumar and B.K. Singh, “DWT based color image watermarking using maximum entropy,” Multimed. Tools and Appl., vol. 80, pp. 15487–15510, 2021.
  • [8] A. Al-Haj, “Combined DWT-DCT digital image watermarking,” J. Comput. Sci., vol. 9, pp. 740-746, ISSN 1549-3636, 2007. [9] E.E. Hemdan, “An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images,” Multimed. Tools Appl., vol. 80, pp. 1749–1777, 2021.
  • [10] C. Patvardhan, P. Kumar and C.V. Lakshmi, “Effective color image watermarking scheme using YCbCr color space and QR code,” Multimed. Tools Appl., vol.77, pp. 12655–12677, 2018.
  • [11] M. Boreiry and M.R. Keyvanpour, “Classification of watermarking methods based on watermarking approaches,” Artif. Intell. Robot., Tahran, Iran, pp. 73-76, 2017.
  • [12] C. Yin, L. Li, A. Lv and L. Qu, “Color image watermarking algorithm based on DWT-SVD,” Proc. IEEE Int. Conf. Automat. Logistics, Jinan, China, August 18-21, 2007.
  • [13] M. Patel, P.S. Sajja, R. Sheth, “Analysis and survey of digital watermarking techniques,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 3, no. 10, pp. 203-210, 2013.
  • [14] A. Abdülkhaev, “A new approach for video watermarking,” M.S. thesis, Elect. Electron. Eng., Gaziantep Univ., 66p, 2016.
  • [15] C. Petzold, “Triple standard: three new video modes from IBM," PC Magazine, July 1987.
  • [16] J. Richter, Power programming the IBM XGA, MIS Press, ISBN: 1-55828-127-4, 1992.
  • [17] Digital Cinema Initiatives LLC, "Digital cinema system specification document (v.1.4.2)," 2022.
  • [18] Digital cinema distribution master, SMPTE 428-1-2006, The Society of Motion Picture and Television Engineers, 2006.
  • [19] Ultra-High Definition Television, Image Parameter Values for Program Production, SMPTE ST 2036-1:2014, Society of Motion Picture and Television Engineers, 2014.
  • [20] D. Lee, “Apple announces $4,999 Pro Display XDR,”. [Online]. Available: https://www.theverge.com/2019/ 6/3/18644791/apple-mac-pro-display-xdr-6k-retina-hdr-wwdc-2019, 2019.
  • [21] Parameter values for ultra-high definition television systems for production and international programme exchange, Rec. ITU-R BT.2020-2, International Telecommunication Union, Geneva, 2015.
  • [22] D. Lokas, “Innolux premieres world’s first 100 inch 16K display the best vision ever,” DisplayDaily, [Online]. Available: https://displaydaily.com/innolux-to-showcase-smartwatch-with-flexible-oled-display/, 2018.
  • [23] https://en.wikipedia.org/wiki/List_of_common_resolutions, Access date: 30.12.2022
  • [24] Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.
  • [25] Z.H. Wei, P. Qin and Y.Q. Fu, ‘‘Perceptual digital watermark of images using wavelet transform,’’ IEEE Trans. Consum. Electron., vol. 44, no. 4, pp. 1267–1272, Nov. 1998.
  • [26] X. Yu, P. Dai, W. Li, L. Ma, “Towards efficient and scale-robust ultra-high-definition image demoireing,” arXiv:2207.09935, 2022.
  • [27] F. Kahlessenane, A. Khaldi, R. Kafi and S. Euschi, “A DWT based watermarking approach for medical image protection,” J. Ambient Intell. Humanized Comput., vol. 12, pp. 2931–2938, 2021.
  • [28] K.J. Giri, S.M.K. Quadri, R. Bashir and J.I. Bhat, "DWT based color image watermarking: a review," Multimed. Tools Appl., vol. 79, pp.32881–32895, 2020.
  • [29] H.C. Huang, F.H. Wang and J.S. Pan, “Efficient and robust watermarking algorithm with vector quantization,” Electron. Lett., vol. 37 no. 13, pp. 826–828, 2001.
  • [30] C. Qin, P. Ji, J. Wang and C.C. Chang, “Fragile image watermarking scheme based on VQ index sharing and self-embedding,” Multimed. Tools Appl., vol. 76, no. 2, pp. 2267–2287, 2017.
  • [31] M. Barni, F. Bartolini, A.D. Rosa and A. Piva, “Color image watermarking in the Karhunen-Loeve transform domain,” J. Electron. Imaging, vol. 11, no. 1, pp. 87–95, 2002.
  • [32] M. Botta, D. Cavagnino, V. Pomponiu, “Fragile watermarking using Karhunen-Loeve transform: the KLT-F approach,” Soft Comput., vol. 19, no. 7, pp. 1905–1919, 2015.
  • [33] E. Etemad, S. Samavi, S.M.R. Soroushmehr, N. N. Karimi, M. Etemad, S. Shirani and K. Najarian, “Robust image watermarking scheme using bit-plane of hadamard coefficients,” Multimed. Tools Appl., vol. 77, no. 2, pp. 2033–2055, 2018.
  • [34] J. Li, C. Yu, B.B. Gupta and X. Ren, “Color image watermarking scheme based on quaternion Hadamard transform and Schur decomposition,” Multimed. Tools Appl., vol. 77, no. 4, pp. 4545–4561, 2018.
  • [35] L. Chen and J. Zhao, “Contourlet-based image and video watermarking robust to geometric attacks and compressions,” Multimed. Tools Appl., vol. 77, no. 6, pp. 7187–7204, 2018.
  • [36] Q. Su, G. Wang, G. Lv, X. Zhang, G. Deng and B. Chen, “A novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition,” Multimed. Tools Appl., vol. 76, no. 6, pp. 8781–8801, 2017.
  • [37] D. Mistry and A. Banerjee, “Discrete wavelet transform using Matlab,” Int. J. Computer Eng. Technol.,” vol. 4, no. 2, ISSN:0976–6375, pp. 252-259, 2013.
  • [38] Ş. Doğan, “Yeni bir sayısal damgalama tekniği ile biyometrik uygulamalar,” Ph.D. dissertation, Comput. Eng. Comput. Sci. Control, Fırat Univ., Elazığ, Turkey, 2011.
  • [39] K. Mahmoud, S. Datta and J. Flint, “Frequency domain watermarking: An overview,” Int. Arab J. Inf. Technol., vol. 2, no. 1, pp. 33-47, 2005.
  • [40] P. Porwik, “The Haar-wavelet transform in digital image processing: Its status and achievements,” Mach. Graph. Vision, vol. 13, no.1/2, pp. 79-98, 2004.
  • [41] V. Santhi, N. Rekha and S. Tharini, ‘‘A hybrid block based watermarking algorithm using DWT-DCT-SVD techniques for color images,’’ Int. Conf. Comput., Commun. Netw., pp. 1–7, 2008.
  • [42] O. Jane and E. Elbaşi, ‘‘A new approach of non-blind watermarking methods based on DWT and SVD via LU decomposition,’’ Turkish J. Electr. Eng. Comput. Sci., vol. 22, no. 5, pp. 1354–1366, 2014.
  • [43] A. Mishra, C. Agarwal, A. Sharma and P. Bedi, ‘‘Optimized gray-scale image watermarking using DWT–SVD and firefly algorithm,’’ Expert Syst. Appl., vol. 41, no. 17, pp. 7858–7867, 2014.
  • [44] M. Hsieh, D. Tseng and Y. Huang, “Hiding digital watermarks using multiresolution wavelet transform,” IEEE Trans. Ind. Electron., vol. 48, no. 5, pp. 875-882, 2001.
  • [45] E. Yavuz, “Duruk imgelerde damgalama ve veri saklama,” Ph.D. dissertation, Elect. Electron. Eng., Ankara University, 2008.
  • [46] A. Sverdlov, S. Dexter and A.M. Eskicioglu, “Robust DCT-SVD domain image watermarking for copyright protection: Embedding data in all frequency,” presented at the 13th European Signal Processing Conference, Antalya, 2005.
  • [47] D.R.I.M. Setiadi, “PSNR vs SSIM: imperceptibility quality assessment for image steganography,” Multimed. Tools Appl., vol. 80, pp. 8423–8444, 2021.
  • [48] P.M. Naini, Digital watermarking using Matlab, engineering education and research using Matlab, Ali Assi, Ed., ISBN: 978-953-307-656-0, InTech, Iran, 2011.
  • [49] E. Ganic and A.M. Eskicioğlu, A.M., "Robust DWT-SVD domain image watermarking: Embedding data in all frequencies," presented at the 6th Workshop Multimed. Secur., Magdeburg, Germany, September 20-21, 2004.
  • [50] Y.S. Lee, Y.H. Seo and D.W. Kim, "Blind image watermarking based on adaptive data spreading in n-Level DWT subbands," Hindawi Secur. Commun. Netw., 2019.
  • [51] N.V. Dharwadkar, B.B. Amberker and A. Gorai, "Non-blind watermarking scheme for color images in RGB space using DWT-SVD," 2011 presented at the Int. Conf. Commun. Signal Process., Kerala, India, pp. 489-493, 2011.
  • [52] S. P. Sathya and S. Ramakrishnan, "Fibonacci based key frame selection and scrambling for video watermarking in DWT–SVD domain," Wireless Pers. Commun., vol. 102, pp. 2011–2031, 2018.
  • [53] Z. Zhang, C. Wang and X. Zhou, "Image watermarking scheme based on Arnold transform and DWT-DCT-SVD," presented at the IEEE 13th Int. Conf. Signal Proc., Chengdu, China, pp. 805-810, 2016.

The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking

Yıl 2024, Cilt: 12 Sayı: 2, 1178 - 1191, 29.04.2024
https://doi.org/10.29130/dubited.1246175

Öz

With the widespread use of the Internet and the decrease in storage costs, many media have been transferred to digital media. This situation reduces the security and reliability of digital media. Media producers use watermarking methods for copyright protection. This study focuses on wavelet transform, which is one of the frequency conversion methods for watermarking. The wavelet transform for the watermarking process is usually applied on one of the four subbands obtained in a single level. In this study, the watermarking process is carried out in a total of 12 sub-bands, including the 1st, 2nd and 3rd levels. In addition, a performance evaluation metric for digital image watermarking is presented. The evaluation is applied using 10 different watermark strength factors on 46 different image resolutions. The Ultra High-definition Demoiréing Dataset is used for testing. The mathematical results obtained as a result of 22080 iterations are shown with tables and graphics, and the performance relations between the cover image resolution value and the sub-band selection are interpreted.

Kaynakça

  • [1] W.H. Jing, “A DCT domain image watermarking method based on Matlab,” Int. J. Adv. Netw. Monit. Control, vol. 2, no. 2, pp. 38-45, 2017.
  • [2] F. Ernawan, D. Ariatmanto and A. Firdaus, “An improved image watermarking by modifying selected DWT-DCT coefficients,” in IEEE Access, vol. 9, pp. 45474-45485, 2021.
  • [3] H.B. Macit, “Mobil cihaz görüntüleri için entropi tabanlı kırılgan damgalama metodu geliştirilmesi,” Ph.D. dissertation, Comput. Eng., Süleyman Demirel Univ., Isparta, Turkey, 2019.
  • [4] D. Haueter, “Worldwide image capture forecast,” Rise Above Research, pp. 2021 – 2026, 2022.
  • [5] A.K. Abdulrahman and S. Öztürk, “A novel hybrid DCT and DWT based robust watermarking algorithm for color images,” Multimed. Tools and Appl., vol. 78, pp. 17027-17049, 2019.
  • [6] J. Liu, J. Huang, Y. Luo, L. Cao, S. Yang, D. Wei and R. Zhou, “An optimized image watermarking method based on HD and SVD in DWT domain,” in IEEE Access, vol. 7, pp. 80849-80860, 2019.
  • [7] S. Kumar and B.K. Singh, “DWT based color image watermarking using maximum entropy,” Multimed. Tools and Appl., vol. 80, pp. 15487–15510, 2021.
  • [8] A. Al-Haj, “Combined DWT-DCT digital image watermarking,” J. Comput. Sci., vol. 9, pp. 740-746, ISSN 1549-3636, 2007. [9] E.E. Hemdan, “An efficient and robust watermarking approach based on single value decompression, multi-level DWT, and wavelet fusion with scrambled medical images,” Multimed. Tools Appl., vol. 80, pp. 1749–1777, 2021.
  • [10] C. Patvardhan, P. Kumar and C.V. Lakshmi, “Effective color image watermarking scheme using YCbCr color space and QR code,” Multimed. Tools Appl., vol.77, pp. 12655–12677, 2018.
  • [11] M. Boreiry and M.R. Keyvanpour, “Classification of watermarking methods based on watermarking approaches,” Artif. Intell. Robot., Tahran, Iran, pp. 73-76, 2017.
  • [12] C. Yin, L. Li, A. Lv and L. Qu, “Color image watermarking algorithm based on DWT-SVD,” Proc. IEEE Int. Conf. Automat. Logistics, Jinan, China, August 18-21, 2007.
  • [13] M. Patel, P.S. Sajja, R. Sheth, “Analysis and survey of digital watermarking techniques,” Int. J. Adv. Res. Comput. Sci. Softw. Eng., vol. 3, no. 10, pp. 203-210, 2013.
  • [14] A. Abdülkhaev, “A new approach for video watermarking,” M.S. thesis, Elect. Electron. Eng., Gaziantep Univ., 66p, 2016.
  • [15] C. Petzold, “Triple standard: three new video modes from IBM," PC Magazine, July 1987.
  • [16] J. Richter, Power programming the IBM XGA, MIS Press, ISBN: 1-55828-127-4, 1992.
  • [17] Digital Cinema Initiatives LLC, "Digital cinema system specification document (v.1.4.2)," 2022.
  • [18] Digital cinema distribution master, SMPTE 428-1-2006, The Society of Motion Picture and Television Engineers, 2006.
  • [19] Ultra-High Definition Television, Image Parameter Values for Program Production, SMPTE ST 2036-1:2014, Society of Motion Picture and Television Engineers, 2014.
  • [20] D. Lee, “Apple announces $4,999 Pro Display XDR,”. [Online]. Available: https://www.theverge.com/2019/ 6/3/18644791/apple-mac-pro-display-xdr-6k-retina-hdr-wwdc-2019, 2019.
  • [21] Parameter values for ultra-high definition television systems for production and international programme exchange, Rec. ITU-R BT.2020-2, International Telecommunication Union, Geneva, 2015.
  • [22] D. Lokas, “Innolux premieres world’s first 100 inch 16K display the best vision ever,” DisplayDaily, [Online]. Available: https://displaydaily.com/innolux-to-showcase-smartwatch-with-flexible-oled-display/, 2018.
  • [23] https://en.wikipedia.org/wiki/List_of_common_resolutions, Access date: 30.12.2022
  • [24] Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.
  • [25] Z.H. Wei, P. Qin and Y.Q. Fu, ‘‘Perceptual digital watermark of images using wavelet transform,’’ IEEE Trans. Consum. Electron., vol. 44, no. 4, pp. 1267–1272, Nov. 1998.
  • [26] X. Yu, P. Dai, W. Li, L. Ma, “Towards efficient and scale-robust ultra-high-definition image demoireing,” arXiv:2207.09935, 2022.
  • [27] F. Kahlessenane, A. Khaldi, R. Kafi and S. Euschi, “A DWT based watermarking approach for medical image protection,” J. Ambient Intell. Humanized Comput., vol. 12, pp. 2931–2938, 2021.
  • [28] K.J. Giri, S.M.K. Quadri, R. Bashir and J.I. Bhat, "DWT based color image watermarking: a review," Multimed. Tools Appl., vol. 79, pp.32881–32895, 2020.
  • [29] H.C. Huang, F.H. Wang and J.S. Pan, “Efficient and robust watermarking algorithm with vector quantization,” Electron. Lett., vol. 37 no. 13, pp. 826–828, 2001.
  • [30] C. Qin, P. Ji, J. Wang and C.C. Chang, “Fragile image watermarking scheme based on VQ index sharing and self-embedding,” Multimed. Tools Appl., vol. 76, no. 2, pp. 2267–2287, 2017.
  • [31] M. Barni, F. Bartolini, A.D. Rosa and A. Piva, “Color image watermarking in the Karhunen-Loeve transform domain,” J. Electron. Imaging, vol. 11, no. 1, pp. 87–95, 2002.
  • [32] M. Botta, D. Cavagnino, V. Pomponiu, “Fragile watermarking using Karhunen-Loeve transform: the KLT-F approach,” Soft Comput., vol. 19, no. 7, pp. 1905–1919, 2015.
  • [33] E. Etemad, S. Samavi, S.M.R. Soroushmehr, N. N. Karimi, M. Etemad, S. Shirani and K. Najarian, “Robust image watermarking scheme using bit-plane of hadamard coefficients,” Multimed. Tools Appl., vol. 77, no. 2, pp. 2033–2055, 2018.
  • [34] J. Li, C. Yu, B.B. Gupta and X. Ren, “Color image watermarking scheme based on quaternion Hadamard transform and Schur decomposition,” Multimed. Tools Appl., vol. 77, no. 4, pp. 4545–4561, 2018.
  • [35] L. Chen and J. Zhao, “Contourlet-based image and video watermarking robust to geometric attacks and compressions,” Multimed. Tools Appl., vol. 77, no. 6, pp. 7187–7204, 2018.
  • [36] Q. Su, G. Wang, G. Lv, X. Zhang, G. Deng and B. Chen, “A novel blind color image watermarking based on Contourlet transform and Hessenberg decomposition,” Multimed. Tools Appl., vol. 76, no. 6, pp. 8781–8801, 2017.
  • [37] D. Mistry and A. Banerjee, “Discrete wavelet transform using Matlab,” Int. J. Computer Eng. Technol.,” vol. 4, no. 2, ISSN:0976–6375, pp. 252-259, 2013.
  • [38] Ş. Doğan, “Yeni bir sayısal damgalama tekniği ile biyometrik uygulamalar,” Ph.D. dissertation, Comput. Eng. Comput. Sci. Control, Fırat Univ., Elazığ, Turkey, 2011.
  • [39] K. Mahmoud, S. Datta and J. Flint, “Frequency domain watermarking: An overview,” Int. Arab J. Inf. Technol., vol. 2, no. 1, pp. 33-47, 2005.
  • [40] P. Porwik, “The Haar-wavelet transform in digital image processing: Its status and achievements,” Mach. Graph. Vision, vol. 13, no.1/2, pp. 79-98, 2004.
  • [41] V. Santhi, N. Rekha and S. Tharini, ‘‘A hybrid block based watermarking algorithm using DWT-DCT-SVD techniques for color images,’’ Int. Conf. Comput., Commun. Netw., pp. 1–7, 2008.
  • [42] O. Jane and E. Elbaşi, ‘‘A new approach of non-blind watermarking methods based on DWT and SVD via LU decomposition,’’ Turkish J. Electr. Eng. Comput. Sci., vol. 22, no. 5, pp. 1354–1366, 2014.
  • [43] A. Mishra, C. Agarwal, A. Sharma and P. Bedi, ‘‘Optimized gray-scale image watermarking using DWT–SVD and firefly algorithm,’’ Expert Syst. Appl., vol. 41, no. 17, pp. 7858–7867, 2014.
  • [44] M. Hsieh, D. Tseng and Y. Huang, “Hiding digital watermarks using multiresolution wavelet transform,” IEEE Trans. Ind. Electron., vol. 48, no. 5, pp. 875-882, 2001.
  • [45] E. Yavuz, “Duruk imgelerde damgalama ve veri saklama,” Ph.D. dissertation, Elect. Electron. Eng., Ankara University, 2008.
  • [46] A. Sverdlov, S. Dexter and A.M. Eskicioglu, “Robust DCT-SVD domain image watermarking for copyright protection: Embedding data in all frequency,” presented at the 13th European Signal Processing Conference, Antalya, 2005.
  • [47] D.R.I.M. Setiadi, “PSNR vs SSIM: imperceptibility quality assessment for image steganography,” Multimed. Tools Appl., vol. 80, pp. 8423–8444, 2021.
  • [48] P.M. Naini, Digital watermarking using Matlab, engineering education and research using Matlab, Ali Assi, Ed., ISBN: 978-953-307-656-0, InTech, Iran, 2011.
  • [49] E. Ganic and A.M. Eskicioğlu, A.M., "Robust DWT-SVD domain image watermarking: Embedding data in all frequencies," presented at the 6th Workshop Multimed. Secur., Magdeburg, Germany, September 20-21, 2004.
  • [50] Y.S. Lee, Y.H. Seo and D.W. Kim, "Blind image watermarking based on adaptive data spreading in n-Level DWT subbands," Hindawi Secur. Commun. Netw., 2019.
  • [51] N.V. Dharwadkar, B.B. Amberker and A. Gorai, "Non-blind watermarking scheme for color images in RGB space using DWT-SVD," 2011 presented at the Int. Conf. Commun. Signal Process., Kerala, India, pp. 489-493, 2011.
  • [52] S. P. Sathya and S. Ramakrishnan, "Fibonacci based key frame selection and scrambling for video watermarking in DWT–SVD domain," Wireless Pers. Commun., vol. 102, pp. 2011–2031, 2018.
  • [53] Z. Zhang, C. Wang and X. Zhou, "Image watermarking scheme based on Arnold transform and DWT-DCT-SVD," presented at the IEEE 13th Int. Conf. Signal Proc., Chengdu, China, pp. 805-810, 2016.
Toplam 52 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Hüseyin Bilal Macit 0000-0002-5325-5416

Yayımlanma Tarihi 29 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 12 Sayı: 2

Kaynak Göster

APA Macit, H. B. (2024). The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, 12(2), 1178-1191. https://doi.org/10.29130/dubited.1246175
AMA Macit HB. The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking. DÜBİTED. Nisan 2024;12(2):1178-1191. doi:10.29130/dubited.1246175
Chicago Macit, Hüseyin Bilal. “The Effect of Resolution and Watermark Strength on Multi-Level DWT Image Watermarking”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi 12, sy. 2 (Nisan 2024): 1178-91. https://doi.org/10.29130/dubited.1246175.
EndNote Macit HB (01 Nisan 2024) The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12 2 1178–1191.
IEEE H. B. Macit, “The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking”, DÜBİTED, c. 12, sy. 2, ss. 1178–1191, 2024, doi: 10.29130/dubited.1246175.
ISNAD Macit, Hüseyin Bilal. “The Effect of Resolution and Watermark Strength on Multi-Level DWT Image Watermarking”. Düzce Üniversitesi Bilim ve Teknoloji Dergisi 12/2 (Nisan 2024), 1178-1191. https://doi.org/10.29130/dubited.1246175.
JAMA Macit HB. The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking. DÜBİTED. 2024;12:1178–1191.
MLA Macit, Hüseyin Bilal. “The Effect of Resolution and Watermark Strength on Multi-Level DWT Image Watermarking”. Düzce Üniversitesi Bilim Ve Teknoloji Dergisi, c. 12, sy. 2, 2024, ss. 1178-91, doi:10.29130/dubited.1246175.
Vancouver Macit HB. The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking. DÜBİTED. 2024;12(2):1178-91.