Publication Type : Conference Paper
Publisher : ICSAP 2010
Source : 2010 International Conference on Signal Acquisition and Processing, ICSAP 2010, Bangalore, p.349-353 (2010)
ISBN : 9780769539607
Keywords : Authentication, Communication systems, Data authentication, Data processing, Digital image storage, Digital Image Watermarking, Digital watermarking, Frequency domain analysis, Frequency domain watermarking, Frequency domains, Frequency-domain methods, Image processing, MATLAB, Performance comparison, Robust methods, Signal analysis, Signal processing, Spatial domain methods, Spatial domain watermarking, Spatial domains, Verilog HDL, Watermarking, Watermarking techniques
Campus : Amritapuri
School : School of Engineering
Department : Electronics and Communication
Year : 2010
Abstract : Data authentication is one of the primary requisites in present day communication systems. In image processing, data authentication is implemented by using watermarking techniques. Nevertheless, whatever be the technique of watermarking, one of the important factors to be considered is robustness. In this paper we discuss about a novel robust method for digital watermarking in spatial domain. The method deals with an image in the spatial domain which is watermarked at different intensity subsections. Further, we have analyzed the performance of the proposed method by implementing the method using Verilog HDL Matlab. A comparison of the proposed novel spatial domain method with the frequency domain method is also given here. We have implemented a frequency domain DCT/IDCT based digital watermarking as in [1] and [2]. We also compare the PSNR that can be obtained using the proposed spatial domain watermarking and the DCT/IDCT based watermarking. © 2010 IEEE.
Cite this Research Publication : Rajesh Kannan Megalingam, Nair, M. M., Srikumar, R., Balasubramanian, V. K., and Sarma, V. S. V., “Performance Comparison of Novel, Robust Spatial Domain Digital Image Watermarking with the Conventional Frequency Domain Watermarking Techniques”, in 2010 International Conference on Signal Acquisition and Processing, ICSAP 2010, Bangalore, 2010, pp. 349-353
