A Method Of Digital Watermarking Based On Quantization

With the rapid development of the internet, the use of digital watermarking is more and more wide and research need more watermarking algorithm. This paper research some watermarking algorithms based on wavelet transform and brings out a method of watermarking algorithm based on random sequence and quantization.Firstly the original binary watermarking image which is encrypted through Arnold scrambling technique generated the secret key which produces a pseudo-random sequence (m-sequence) and then watermarking is separated into tow parts using this m-sequence. The embedding process is implemented in the discrete wavelet transformation (DWT) domain; with the characteristic of detail frequency sub-band, watermarking is embedded. And extraction process doesn't require any knowledge of the source carrier image.Scrambled and classified Watermarking image processes more sound and safety, at the same time its invisibility and robustness is ensured by controlling watermarking image situation. Then watermarking image is extracted through observing its coefficient is odd or even, algorithm bring about blind detecting according with coefficient transform.The experimental results demonstrate that the proposed watermarking scheme is very robust to the attacks such as additive noise, random noise, rotating and cropping image.