Adaptive Image Watermarking based on K-NN Clustering
Abstract
The key challenge faced by researchers is the rise in the use of social media communication to prove ownership rights to multimedia material such as video, audio, text, graphics, etc. Watermarking is the method of multimedia concealment of digital content that can be used later to prove ownership credentials. The researchers in this field contribute a lot of work, but there is still a need for more robust methods. In this paper, we use the KNN clustering method to find the features in the image, which are then used to embed the content of the watermark. Later, the KNN clustering approach is again used for watermark extraction to classify the characteristics where the watermark is embedded and extraction is performed from those characteristics.References
. Chu-Hsing Lin,Jung-Chun Liu,Chih-Hsiong Shih,Yan-Wei Lee “A Robust Watermark Scheme for Copyright Protection” 2008 International Conference on Multimedia and Ubiquitous Engineering
. Kavitha Soppari , N.Subhash Chandra “Study of Digital Watermarking Algorithms for Digital Rights Management and their Attacks”, International Journal of Computer Trends and Technology (IJCTT) – Volume 67 Issue 1 - Jan 2019.
. Jianzhen Wi andJianyig Xie“ADAPTIVEIMAGEWATERMAFUNG SCHEME BASED ON HVSAND FUZZY CLUSTERINGTHEORY”IEEE Int. Conf.
. Wei-Che Chen, Ming-Shi Wang “A fuzzy cmeans clustering-based fragile watermarking scheme for image authentication” Expert Systems with Applications 36 (2009) 1300 1307, Science Direct
. Huawei Tian, Yao Zhao, Rongrong Ni, and Jeng-Shyang Pan “Geometrically Invariant Image Watermarking Using Scale-Invariant Feature Transform and K-Means Clustering” ICCCI 2010, Part I, LNAI 6421, pp. 128–135, 2010. ©Springer-Verlag Berlin Heidelberg2010
. Mohamed Tahar Ben Othman “Digital Image Watermarking based on image clustering”
. Bassem S. Rabil • Robert Sabourin • Eric Granger. “Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking” Machine Vision and Applications DOI 10.1007/s00138-013-0493-1
. Lingling An, Xinbo Gao, Xuelong Li,Dacheng Tao, Cheng Deng, Jie Li “Robust Reversible Watermarking via Clustering and Enhanced Pixel-Wise Masking” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 21, NO. 8, AUGUST 2012
. R. Suganya1 ,R Kanagavalli “TamperDetection using Watermarking Scheme and KMean Clustering for Bio Medical Images”, International Journal for Modern Trends in Science and Technology Volume: 02, Issue No: 11, November 2016
. Lin ZHANG, Fengyong QIAN, Yi GAO, Yuesheng ZHU “A New Integration Scheme of Robust and Fragile for Secured Digital Watermarking” 2008 ISECS International Colloquium on Computing, Communication, Control, and Management
Copyright (c) 2021 American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who submit papers with this journal agree to the following terms.
