Video Watermarking Algorithm Based On Lifting Wavelet Transform And Singular Value Decomposition

With the rapid development of multimedia information processing technology,using a range of digital products continues to expand, people are enjoying theconvenience of digital products, is also facing the risk of copyright theft or datacontent is modified, serious damage to the interests of the people. Digital videowatermarking has become an effective means of digital media protection at the sametime in digital watermarking technology, more and more people’s attention, becomethe hot research at the present stage.In this paper, after in-depth understanding of video watermarking theory,according to the watermark information embedded in the majority is not restricted,convenient two value sequence embedding and detection, and contains too muchredundancy value and limitation of meaningful image. Combined with the merits ofthe two meaningful binary image as the watermark information two. Then put forwarda kind of lifting wavelet transform and singular value decomposition of videowatermarking algorithm based on. Algorithm of watermark image using chaosencryption processing method after Arnold transform, then according to the brightnessof pixel and frame, select some frames, the watermark is embedded after processingafter lifting wavelet transform and singular value decomposition of the low frequencycoefficients, based on image luminance masking, texture and motion region of themasking properties the human visual system, adaptive adjustment of the watermarkembedding strength. Blind detection of watermark detection using the relationshipbetween adaptive embedding.According to the various attack methods at present, video watermarkingalgorithm based on MATLAB is presented in this paper for the simulation, resultsshow that the lifting wavelet transform and singular value decomposition combined,improve the robustness of the algorithm, and well satisfies the watermarkimperceptibility, have reference value for practical application.