Grayscale image digital watermarking on wavelet analysis

Aim at the grayscale image watermarking embedding and detection, on the basis of introduction of digital watermarking principle and wavelet multiresolution analysis, adaptive blind grayscale image watermarkingalgorithm based on wavelet analysis is put forward. Firstly, the embeddedwatermarking signal is processed by spread spectrum technology,secondly, the location of the embedded watermarking and strength is automatically adjust according to the characteristics of the original image, and watermarking is adaptively added to the grayscale images, finally,watermarking signal is blindly extracted without the information of the original image.

Experimental results show that the proposed algorithm enhances the anti- attack capability and the hidden nature of the image, improve the security of the watermarking detection, and has higher robustness to random noise attack, cutting and JPEG compression.