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.

N Chenthalir Indra and Dr. E . Ramaraj, “Fine Facet Digital Watermark (FFDW) Mining From The Color Image Using Neural Networks” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis, 2011. http://dx.doi.org/10.14569/SpecialIssue.2011.010110

@article{Indra2011,
title = {Fine Facet Digital Watermark (FFDW) Mining From The Color Image Using Neural Networks},
journal = {International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Image Processing and Analysis}
doi = {10.14569/SpecialIssue.2011.010110},
url = {http://dx.doi.org/10.14569/SpecialIssue.2011.010110},
year = {2011},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {N Chenthalir Indra and Dr. E . Ramaraj},
}