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Comparative Analysis of Different Noise Sequence Embedded Color Image Watermarking Techniques in Spatial Domain


Affiliations
1 EC Department, Government Polytechnic, Rajkot, Gujarat, India
2 EC Department, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India
3 EC Department, Darshan Institute of Technology & Engineering, Rajkot, Gujarat, India
     

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In this paper two digital watermarking schemes for embedding a monochromic watermark image into color cover image for different noise sequence like Pseudorandom (PN) and White Gaussian Noise (WGN) have been implemented. In order to exploit the correlation properties of both PN and WGN, the correlation based watermarking techniques like-Threshold Based Detection and Comparison Based Detection in Spatial domain have been analyzed for different noise power values and block size. Although the watermarked images appear quite different, visibly from the original image after noise sequence is embedded. As a result of our work, invisible watermarked image is generated by using PN Sequence and visible watermarked image is generated by using WGN Sequence for high value of noise. This paper also gives comparison of these schemes for different noise power values and watermarked images have been verified on the parameters of PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error).

Keywords

Pseudorandom Noise (PN), White Gaussian Noise (WGN), Processing Time of Embedder (PTE), Processing Time of Detector (PTD), Threshold Value.
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  • Comparative Analysis of Different Noise Sequence Embedded Color Image Watermarking Techniques in Spatial Domain

Abstract Views: 243  |  PDF Views: 2

Authors

Rohit M. Thanki
EC Department, Government Polytechnic, Rajkot, Gujarat, India
Rahul K. Kher
EC Department, G H Patel College of Engineering & Technology, Vallabh Vidyanagar, Gujarat, India
Divyang D. Vyas
EC Department, Darshan Institute of Technology & Engineering, Rajkot, Gujarat, India

Abstract


In this paper two digital watermarking schemes for embedding a monochromic watermark image into color cover image for different noise sequence like Pseudorandom (PN) and White Gaussian Noise (WGN) have been implemented. In order to exploit the correlation properties of both PN and WGN, the correlation based watermarking techniques like-Threshold Based Detection and Comparison Based Detection in Spatial domain have been analyzed for different noise power values and block size. Although the watermarked images appear quite different, visibly from the original image after noise sequence is embedded. As a result of our work, invisible watermarked image is generated by using PN Sequence and visible watermarked image is generated by using WGN Sequence for high value of noise. This paper also gives comparison of these schemes for different noise power values and watermarked images have been verified on the parameters of PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error).

Keywords


Pseudorandom Noise (PN), White Gaussian Noise (WGN), Processing Time of Embedder (PTE), Processing Time of Detector (PTD), Threshold Value.