VIDEO AUTHENTICATION TECHNIQUE BASED ON DIGITAL WATERMARKING AND QR CODE IMAGE
Main Article Content
Abstract
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.
References
. Methaq GAATA, Sattar SADKHN, HASSON, “Evaluation of Perceptual Quality for Watermarked Images Based on Combination of Fuzzy Similarity Measures Using Neural Network†International Journal of Computer Science Issues, Issues 9 (4), pp. 1694-0814, 2012.
. Methaq GAATA, William PUECH, Sattar SADKHN and Saad HASSON, "No-Reference Quality Metric for Watermarked Images Based on Combining of Objective Metrics Using Neural Network,†IEEE International Conference on Image Processing Theory, Tools & Applications, Istanbul -Turkey, 2012.
. M. Ketcham and T.Ganokratanaa," The Evolutionary Computation Video Watermarking Using Quick Response Code Based on Discrete Multiwavelet Transformation", Advances in Intelligent Systems and Computing, Volume 265 , pp. 113-123, Springer,2014.
. M. S. Hassanein," Secure Digital Documents Using Steganography and QR Code", PhD thesis, Department of Computer Science, Brunel University, UK,2014.
. Lau Wei Khang," A Dual-Watermarking With QR Code Against Cropping And Resizing Attack", MSc thesis, Faculty of Computer Science and IT, University Tun Hussein , Malaysia,2016.
. S.S. Kasabe, R. S. Darandale, T.D.Chikhale, N.S.Jadhav ,"Robust QR Code Video Watermarking", International Journal of Innovative Research in Computer and Communication Engineering Dept. of Computer Engineering, Jaihind College of Engineering, India, 2016.
. G. Prabakaran, R Bhavani,"An Invisible QR Code Video Watermarking Scheme Based on Wavelet Transform and Tensor Algebra", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 5, Issue 1, India, 2015.
. K.Ashwini, U.Priyanka, P.Shalaka, K.Sagar," A Robust QR-Code Video Watermarking With DCT Domain", International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 3, India, 2015.
. N.M.Jasud, V.k.Borude, P.D.Khodal, W.A.Shital," Secure Watermark Detection Based on Robust QR-code Video Watermarking Using DWT Domain", International Journal of Scientific and Research Publications, Volume 5, Issue 11,India, 2015.
. H. Sheikh, M. Sabir and C. Bovik, “A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms,†IEEE Trans. on Image Processing, 2006, 15, (11), pp. 3441–3451.
. Z. Wang, A. Bovik, H. Sheikh and E.Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,â€IEEE Transactions on Image Processing, vol. 13, no.4, pp. 600-612, April 2004.