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Superior SOM Neural Network based Minute Significant Watermark Generator and Detector System

Author(s): N. Chenthalir Indra | E. Ramaraj

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 19;
Issue: 4;
Start page: 8;
Date: 2011;
Original page

Keywords: Superior Self Organizing Maps | Minute significant watermark

This paper suggests the Superior SOM SSOM based Minute Significant Watermark Generator and Detector MSWGandD system. RGB features of the host image are trained in different SSOM networks. Subsequent to SSOM training process, microscopic significant values are synthesized from host image and selfpossessed as watermark values.Then these values are embedded into the high frequency sub band of Discrete Wavelet Transform 'DWT'. The Quality of invisible watermarking is proved by evaluating PSNR and Jaccard Similarity Ratio values between original and watermarked image. MSWGandD system is robust to JPEG compression and noise attacks. The experimental results prove that the strength of proposed watermarking system is one more landmark in the watermarking techniques
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