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Performance Analysis of Spatial and Frequency Domain Multiple Data Embedding Techniques towards Geometric Attacks
J.Samuel Manoharan, Kezi C.Vijila, A.Sathesh
Pages - 28 - 37     |    Revised - 30-06-2010     |    Published - 10-08-2010
Volume - 4   Issue - 3    |    Publication Date - July 2010  Table of Contents
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KEYWORDS
Luminance, DCT, DWT, Correlation , Coefficient
ABSTRACT
Data hiding is an age-old technique used to hide data in an image. Several attacks are prevalent to hack the data hidden inside the image. Considerable researches are going on in this area to protect the hidden data from unauthorized access. The current work is focused towards studying the behavior of Spatial and Frequency Domain Multiple data embedding techniques towards noise prone channels enabling the user to select an optimal embedding technique. The Performance of the above techniques is also focused towards multiple embedded data inside a single cover image. The robustness of the watermark is tested by incorporating several attacks and testing the watermark strength.
CITED BY (9)  
1 Ahmad, F. (2015). Copyright Protection for Surveillance System Multimedia Stream with Cellular Automata Watermarking. Control Theory and Informatics, 5(1), 10-15.
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3 Koley, S., Pal, K., Ghosh, G., & Bhattacharya, M. (2014). Secure Transmission and Recovery of Embedded Patient Information from Biomedical Images of Different Modalities through a Combination of Cryptography and Watermarking. International Journal of Image, Graphics and Signal Processing (IJIGSP), 6(4), 18.
4 Joseph, A., & Jayasingh, J. R. (2013). Digital Watermarking using Least Significant Bit Insertion Method. Digital Image Processing, 5(2), 76-85.
5 Kavadia, C. (2013). A Review on Spatial & Transform Domain Digital Watermarking Techniques. International Journal of Advanced Research in Computer Science, 4(3).
6 Hussein, J. A. (2012). Luminance-based embedding approach for color image watermarking. International Journal of Image, Graphics and Signal Processing (IJIGSP), 4(3), 49.
7 Chitla, A., & Mohan, M. C. (2012). Authentication of Images through Lossless Watermarking (LWM) Technique with the aid of Elliptic Curve Cryptography (ECC). International Journal of Computer Applications, 57(6).
8 Kaur, R. (2012). Developing a Benchmark Model for Image Digital Watermarking. In International Journal of Applied Information Systems (IJAIS)–ISSN: 2249-0868 Foundation of Computer Science FCS.
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Mr. J.Samuel Manoharan
- India
samuel1530@gmail.com
Dr. Kezi C.Vijila
- India
Mr. A.Sathesh
- India