International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
The copyright protection of digital data became a crucial issue now-a-days. Watermarking is one of the powerful solutions, in which a specified signal or image is embedded in digital data that can be extracted or detected later for authentication purpose. In this paper, a new watermarking approach based on wavelet coefficient quantization using back propagation neural network in discrete wavelet transform domain is proposed. The host image is decomposed up to three levels using discrete wavelet transform. The secret image is chosen as a watermark.