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

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.

Authors and Affiliations

: N. Chenthalir Indra, , , Dr. E. Ramaraj

Keywords

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  • EP ID EP97611
  • DOI -
  • Views 104
  • Downloads 0

How To Cite

: N. Chenthalir Indra, , , Dr. E. Ramaraj (2011).   Fine Facet Digital Wateramrk (FFDW) Mining From The Color Image Using Neural Networks. International Journal of Advanced Computer Science & Applications, 0(1), 70-74. https://europub.co.uk/articles/-A-97611