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ADD, TDA, Cıvıltı-z ve AÜ Ayrıştırma kullanarak Sağlam Görüntü Filigranı Oluşturma

Year 2020, Ejosat Special Issue 2020 (ISMSIT), 206 - 214, 30.11.2020
https://doi.org/10.31590/ejosat.821172

Abstract

Multimedya teknolojileri kullanımının katlanarak artması, bağlanabilirliği daha basit, daha rahat ve daha hızlı hale getirdi, ancak aynı zamanda bir dizi dijital içerik ihlaline de katkıda bulundu. Dijital filigranlamanın, multimedya teknolojisindeki telif hakkı ihlalleri ile ilgili uyumluluk sorunlarına bir çözüm sunduğu bilinmektedir. Bu makale, dört algoritmanın tümünün faydalarını entegre ederek, görüntü filigranlamaya sağlam bir yaklaşım önermektedir. Önerilen yöntem, ayrık dalgacık dönüşümü (ADD), cıvıltı z-dönüşümü (CZT), alt ve üst (AU) ayrıştırma ve tekil ayrıştırma değerine (TDA) dayanmaktadır.
Bu yöntemde, 1 seviyeli ADD kullanılarak, görüntü, frekans alt bantlarına bölünür. LL alt bandı daha sonra CZT kullanılarak bir z alanına dönüştürülür. Daha sonra görüntüyü, her biri filigranı eklemek için kullanılan iki matrise ayrıştırmak için AÜ ayrıştırması kullanıldı. TDA, matrislerin her birine uygulanmış ve filigranın benzersiz değeri, ayrıştırılmış görüntünün matrislerine eklenmiştir. Önerilen çözümün sağlamlığı ve algılanamazlığı, çeşitli görüntü işleme işlemleri için filigranlı görüntünün kontrol edilmesiyle test edildi.
Deneysel bulgular, önerilen tekniğin yüksek algılanamazlık yeteneğine sahip olduğunu ve filtreleme, ölçekleme, JPEG, döndürme, gama düzeltme, bulanıklaştırma, kırpma, gauss gürültüsü, kontrast geliştirme, histogram eşitleme ve tuz- biber gürültüsü gibi sinyal işleme işlemlerine karşı makul düzeyde sağlamlık göstermektedir .

References

  • Abodena, O., & Agoyi, M. (2018). Colour Image Blind Watermarking Scheme Based on Fast Walsh Hadamard Transform and Hessenberg Decomposition. Studies in Informatics and Control, 27(3), 339-348.
  • Abodena, O., Agoyi, M., & Celebi, E. (2017, May). Hybrid technique for robust image watermarking using discrete time fourier transform. In 2017 25th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  • Agoyi, M., Çelebi, E., & Anbarjafari, G. (2015). A watermarking algorithm based on chirp z-transform, discrete wavelet transform, and singular value decomposition. Signal, Image and Video Processing, 9(3), 735-745.
  • Boreiry, M., & Keyvanpour, M. R. (2017, April). Classification of watermarking methods based on watermarking approaches. In 2017 Artificial Intelligence and Robotics (IRANOPEN) (pp. 73-76). IEEE.
  • Jane, O., İlk, H. G., & Elbaşı, E. (2013, November). A secure and robust watermarking algorithm based on the combination of DWT, SVD, and LU decomposition with Arnold's Cat Map approach. In 2013 8th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 306-310). IEEE.
  • Kamble, P., Raut, N., Raut, A., & Naik, S. (2019, April). An Innovative Approach for Data Recovery Using Robust Reversible Watermarking. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1401-1404). IEEE.
  • Laur, L., Daneshmand, M., Agoyi, M., & Anbarjafari, G. (2015b, May). Robust grayscale watermarking technique based on face detection. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 471-475). IEEE.
  • Laur, L., Rasti, P., Agoyi, M., & Anbarjafari, G. (2015a). A Robust Color Image Watermarking Scheme Using Entropy and QR Decomposition. Radioengineering, 24(4).
  • Nikbakht, P., & Mahdavi, M. (2015, May). Targeted watermark removal of a SVD-based image watermarking scheme. In 2015 7th Conference on Information and Knowledge Technology (IKT) (pp. 1-6). IEEE.
  • Prabha, K., Vaishnavi, M. J., & Sam, I. S. (2019, April). Quaternion Hadamard transform and QR decomposition based robust color image watermarking. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 101-106). IEEE.
  • Preet, C., & Aggarwal, R. K. (2017, May). Multiple image watermarking using LWT, DCT and arnold transformation. In 2017 International Conference on Trends in Electronics and Informatics (ICEI) (pp. 158-162). IEEE.
  • Rasti, P., Samiei, S., Agoyi, M., Escalera, S., & Anbarjafari, G. (2016). Robust non-blind color video watermarking using QR decomposition and entropy analysis. Journal of Visual Communication and Image Representation, 38, 838-847.
  • Su, Q., Wang, G., Zhang, X., Lv, G., & Chen, B. (2018). A new algorithm of blind color image watermarking based on LU decomposition. Multidimensional Systems and Signal Processing, 29(3), 1055-1074.
  • Subhashini, R., & Bagan, K. B. (2017, March). Robust audio watermarking for monitoring and information embedding. In 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) (pp. 1-4). IEEE.
  • Thakkar, F. N., & Srivastava, V. K. (2017). A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications. Multimedia Tools and Applications, 76(3), 3669-3697.
  • Wang, D., Yang, F., & Zhang, H. (2016). Blind Color Image Watermarking Based on DWT and LU Decomposition. Journal of Information Processing Systems, 12(4).
  • Zhang, Q., & Qin, Y. (2017, August). Adaptive Singular Value Decomposition and its Application to the Feature Extraction of Planetary Gearboxes. In 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 488-492). IEEE.

Robust Image Watermarking using DWT, SVD, Chirp-z and LU Decomposition

Year 2020, Ejosat Special Issue 2020 (ISMSIT), 206 - 214, 30.11.2020
https://doi.org/10.31590/ejosat.821172

Abstract

The exponential increase of multimedia technologies usage has made connectivity simpler, more convenient and quicker, but has also contributed to a number of infringements of digital content. Digital watermarking has been known to offer a solution to compliance issues related to copyright infringements in multimedia technology. This paper proposes a robust approach to image watermarking by integrating the benefits of all four algorithms. The proposed method is based on discrete wavelet transform (DWT), chirp z-transform (CZT), lower and upper (LU) decomposition and singular decomposition value (SVD). In this method, using 1-level DWT, the image is broken down into its frequency sub-bands. The LL sub-band is then converted into a z domain using CZT. LU decomposition was then used to further decompose the image into two matrixes, each of which was used to insert the watermark. SVD has been applied to each of the matrixes and the unique value of the watermark is inserted to the matrixes of the decomposed image. The robustness and imperceptibility of the proposed solution was tested by checking the watermarked image for various image processing operations. Experimental findings show that the proposed technique has high imperceptibility capability and it shows a reasonable level of robustness against signal processing operations such as filtering, scaling, JPEG, rotating, gamma correction, blurring, cropping, gaussian noise, contrast enhancement, histogram equalization, and salt & pepper noise.

References

  • Abodena, O., & Agoyi, M. (2018). Colour Image Blind Watermarking Scheme Based on Fast Walsh Hadamard Transform and Hessenberg Decomposition. Studies in Informatics and Control, 27(3), 339-348.
  • Abodena, O., Agoyi, M., & Celebi, E. (2017, May). Hybrid technique for robust image watermarking using discrete time fourier transform. In 2017 25th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.
  • Agoyi, M., Çelebi, E., & Anbarjafari, G. (2015). A watermarking algorithm based on chirp z-transform, discrete wavelet transform, and singular value decomposition. Signal, Image and Video Processing, 9(3), 735-745.
  • Boreiry, M., & Keyvanpour, M. R. (2017, April). Classification of watermarking methods based on watermarking approaches. In 2017 Artificial Intelligence and Robotics (IRANOPEN) (pp. 73-76). IEEE.
  • Jane, O., İlk, H. G., & Elbaşı, E. (2013, November). A secure and robust watermarking algorithm based on the combination of DWT, SVD, and LU decomposition with Arnold's Cat Map approach. In 2013 8th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 306-310). IEEE.
  • Kamble, P., Raut, N., Raut, A., & Naik, S. (2019, April). An Innovative Approach for Data Recovery Using Robust Reversible Watermarking. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1401-1404). IEEE.
  • Laur, L., Daneshmand, M., Agoyi, M., & Anbarjafari, G. (2015b, May). Robust grayscale watermarking technique based on face detection. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 471-475). IEEE.
  • Laur, L., Rasti, P., Agoyi, M., & Anbarjafari, G. (2015a). A Robust Color Image Watermarking Scheme Using Entropy and QR Decomposition. Radioengineering, 24(4).
  • Nikbakht, P., & Mahdavi, M. (2015, May). Targeted watermark removal of a SVD-based image watermarking scheme. In 2015 7th Conference on Information and Knowledge Technology (IKT) (pp. 1-6). IEEE.
  • Prabha, K., Vaishnavi, M. J., & Sam, I. S. (2019, April). Quaternion Hadamard transform and QR decomposition based robust color image watermarking. In 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 101-106). IEEE.
  • Preet, C., & Aggarwal, R. K. (2017, May). Multiple image watermarking using LWT, DCT and arnold transformation. In 2017 International Conference on Trends in Electronics and Informatics (ICEI) (pp. 158-162). IEEE.
  • Rasti, P., Samiei, S., Agoyi, M., Escalera, S., & Anbarjafari, G. (2016). Robust non-blind color video watermarking using QR decomposition and entropy analysis. Journal of Visual Communication and Image Representation, 38, 838-847.
  • Su, Q., Wang, G., Zhang, X., Lv, G., & Chen, B. (2018). A new algorithm of blind color image watermarking based on LU decomposition. Multidimensional Systems and Signal Processing, 29(3), 1055-1074.
  • Subhashini, R., & Bagan, K. B. (2017, March). Robust audio watermarking for monitoring and information embedding. In 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN) (pp. 1-4). IEEE.
  • Thakkar, F. N., & Srivastava, V. K. (2017). A blind medical image watermarking: DWT-SVD based robust and secure approach for telemedicine applications. Multimedia Tools and Applications, 76(3), 3669-3697.
  • Wang, D., Yang, F., & Zhang, H. (2016). Blind Color Image Watermarking Based on DWT and LU Decomposition. Journal of Information Processing Systems, 12(4).
  • Zhang, Q., & Qin, Y. (2017, August). Adaptive Singular Value Decomposition and its Application to the Feature Extraction of Planetary Gearboxes. In 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 488-492). IEEE.
There are 17 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Mary Agoyi 0000-0002-2770-1726

Publication Date November 30, 2020
Published in Issue Year 2020 Ejosat Special Issue 2020 (ISMSIT)

Cite

APA Agoyi, M. (2020). Robust Image Watermarking using DWT, SVD, Chirp-z and LU Decomposition. Avrupa Bilim Ve Teknoloji Dergisi206-214. https://doi.org/10.31590/ejosat.821172