| In digital watermarking technology,copyright information is embedded in multimedia content to prove ownership.Therefore,in recent years,many scholars have proposed various digital watermarking methods.Among them,digital watermarking methods based on features and human visual systems and Discrete Cosine Transform(DCT)are becoming more and more popular.In the development of digital watermarking technology,digital watermark not only serves as a too l for copyright protection,but also has been widely used in fingerprint recognition,data authentication and image quality estimation in recent years.We proposea local digital watermarking method based on robust feature extraction and Spread Transform Dither Modulation(STDM).We use the Daisy descriptor to extract feature points.After that,we select feature points through an adaptive feature selection algorithm.The robustness of the whole scheme is improved by introducing feature extraction and STDM method.The robustness of this method is excellent,but with the increase of intensity,the invisibility of watermark is not excellent.A digital image watermarking method based on HVS characteristics is proposed to improve the invisibility of watermarking information.The method of the present invention first divides the carrier image into edge region and a texture region,and then transforms the carrier to be embedded into the frequency domain and uses the visual characteristics to select the quantization intensity and hide the watermark information into the intermediate frequency coefficient of the carrier image.It can be seen from the experimental results that the proposed method achieves good performance and weighs invisibility and robustness. |
