To solve the problem of low capacity of audio watermarking information and poor robustness of impact resistance,a digital audio watermark algorithm based on wavelet transform is presented in this paper. In this algori...To solve the problem of low capacity of audio watermarking information and poor robustness of impact resistance,a digital audio watermark algorithm based on wavelet transform is presented in this paper. In this algorithm,the fine and approximate components are obtained when the Haar wavelet base is used to convert each frame of the audio signal to its discrete transform. Then the HAS algorithm is applied to the fine component embedded with watermark to realize encryption process. The original audio carrier signal is not needed in extraction,as long as the signal is embedded after the frame is divided. The first two sections of each frame are implemented in Haar transform respectively to get the fine and approximate component. The watermark images are obtained from the former two fine components of the energy watermark sequence after calculating,comparing and extracting. The simulation results show that there is a certain transparency for the algorithm,a good robustness against the resampling and low pass filtering attack.展开更多
A novel image blind watermarking scheme based on Contourlet transform was proposed to embed color watermark image into color host image,which was different from some existing works using the binary or gray-level image...A novel image blind watermarking scheme based on Contourlet transform was proposed to embed color watermark image into color host image,which was different from some existing works using the binary or gray-level image as watermark.In the process of embedding watermark,each color component of the color host image was decomposed by Contourlet transform.Then,the low-pass sub-band coefficients were divided to 4×4 non-overlapping blocks,and the coefficients in the selected block were quantified for embedding the watermark information.In the process of extraction watermark,the watermark could be extracted from the watermarked image without the help of the original host image or the original watermark image.Experimental results show that the proposed color image scheme has better invisibility and stronger robustness against most attacks such as image compression,filtering,adding noise,cropping,rotation,and scaling.展开更多
基金Sponsored by the Education Department of Heilongjiang Province (Grant No. 12531113)
文摘To solve the problem of low capacity of audio watermarking information and poor robustness of impact resistance,a digital audio watermark algorithm based on wavelet transform is presented in this paper. In this algorithm,the fine and approximate components are obtained when the Haar wavelet base is used to convert each frame of the audio signal to its discrete transform. Then the HAS algorithm is applied to the fine component embedded with watermark to realize encryption process. The original audio carrier signal is not needed in extraction,as long as the signal is embedded after the frame is divided. The first two sections of each frame are implemented in Haar transform respectively to get the fine and approximate component. The watermark images are obtained from the former two fine components of the energy watermark sequence after calculating,comparing and extracting. The simulation results show that there is a certain transparency for the algorithm,a good robustness against the resampling and low pass filtering attack.
基金National Natural Science Foundations of China(Nos.61232016,61202111,11405254)Natural Science Foundation of Shandong Province,China(No.ZR2014FM005)+3 种基金Shandong Province Higher Educational Science and Technology Programs,China(Nos.J12LN05,J14LN20)Doctoral Foundations of Ludong University,China(Nos.LY2012023,LY2014034)Shandong Province Science and Technology Plan Projects,China(Nos.2013GGB01231,2014GGB01944,2015GSF116001)the Project Development Plan of Science and Technology of Yantai City,China(No.2016ZH057)
文摘A novel image blind watermarking scheme based on Contourlet transform was proposed to embed color watermark image into color host image,which was different from some existing works using the binary or gray-level image as watermark.In the process of embedding watermark,each color component of the color host image was decomposed by Contourlet transform.Then,the low-pass sub-band coefficients were divided to 4×4 non-overlapping blocks,and the coefficients in the selected block were quantified for embedding the watermark information.In the process of extraction watermark,the watermark could be extracted from the watermarked image without the help of the original host image or the original watermark image.Experimental results show that the proposed color image scheme has better invisibility and stronger robustness against most attacks such as image compression,filtering,adding noise,cropping,rotation,and scaling.
