Fine Facet Digital Watermark (FFDW) Mining From The Color Image Using Neural Networks

N Chenthalir,Dr E

doi:10.14569/specialissue.2011.010110

Abstract

On hand watermark methods employ selective Neural Network techniques for watermark embedding efficiently. Similarity Based Superior Self Organizing Maps (SBS_SOM) a neural network algorithm for watermark generation. Host image is learned by the SBS_SOM neurons and the very fine RGB feature values are mined as digital watermark. Discrete Wavelet Transform (DWT) is used for watermark entrench. Similarity Ratio and PSNR values prove the temperament of the Fine Facet Digital Watermark (FFDW). The Proposed system affords inclusive digital watermarking system.

Highlights

Digital image watermarking is a technique which embeds additional information called digital signature or watermark into the digital content in order to secure it [10]
The section two gives detail about basic techniques Similarity based superior Self Organizing Maps (SOM) which is used for watermark generation and detection and Discrete Wavelet Technique (DWT) for embedding
In the proposed system host image is learned by the Similarity Based Superior Self Organizing Maps (SBS_SOM) neurons and the very fine RGB feature values are mined as digital watermark

Summary

INTRODUCTION

Digital image watermarking is a technique which embeds additional information called digital signature or watermark into the digital content in order to secure it [10]. The proposed system generates watermark from host image by using Similarity Based Superior Self Organizing Maps (SBS_SOM) a neural network algorithm. Detection (often called extraction) is an algorithm which is applied to the attacked signal to attempt to extract the watermark from it. Reference [5] used a full counter-propagation neural network (FCNN) for copyright protection where the ownership information was embedded and detected by a specific FCNN. Reference [4] presented a specific designed full counter-propagation neural network for digital image watermarking. The proposed system SBS_SOM a neural network algorithm was trained to generate digital watermark values from the image. The section two gives detail about basic techniques Similarity based superior SOM which is used for watermark generation and detection and Discrete Wavelet Technique (DWT) for embedding.

PROPOSED SYSTEM ENVIRONMENT

Similarity Based Superior SOM

FFDW Generator

FFDW Detector

PROFICIENCY ANALYSIS ON FFDW

CONCLUSION