针对目前数字作品版权保护协议文献较少的现状,设计了通用数字作品版权保护模式下的基于身份的数字作品版权保护协议,包括版权注册、版权信息加载、有版权数字作品交易、版权验证和版权仲裁5个方面的协议;协议比较全面地考虑并解决了实...针对目前数字作品版权保护协议文献较少的现状,设计了通用数字作品版权保护模式下的基于身份的数字作品版权保护协议,包括版权注册、版权信息加载、有版权数字作品交易、版权验证和版权仲裁5个方面的协议;协议比较全面地考虑并解决了实际应用中数字作品版权管理存在的安全问题以及效率问题,全部完成该协议需要12次交互,交互次数至少比已有的,基于公钥基础设施PK I(Pub ic Key Infrastructure)的数字作品著作权保护协议少4次。该协议适用于各种网络环境,如果选取适当的水印算法,该协议可用于各种类型的数字作品的版权保护。该协议具有较强的实用性和较好的安全性。展开更多
An important problem constraining the practical implementation of robust watermarking technology is the low robustness of existing algorithms against geometrical distortions. An adaptive blind watermarking scheme util...An important problem constraining the practical implementation of robust watermarking technology is the low robustness of existing algorithms against geometrical distortions. An adaptive blind watermarking scheme utilizing neural network for synchronization is proposed in this paper,which allows to recover watermark even if the image has been subjected to generalized geometrical transforms. Through classification of image’s brightness, texture and contrast sensitivity utilizing fuzzy clustering theory and human visual system, more robust watermark is adaptively embedded in DWT domain. In order to register rotation, scaling and translation parameters, feedforward neural network is utilized to learn image geometric pattern represented by six combined low order image moments. The distortion can be inverted after determining the affine distortion applied to the image and watermark can be extracted in a standard way without original image. It only needs a trained neural network. Experimental results demonstrate its advantages over previous method in terms of computational effectiveness and parameter estimation accuracy. It can embed more robust watermark under certain visual distance, and effectively resist JPEG compression, noise and geometric attacks.展开更多
文摘针对目前数字作品版权保护协议文献较少的现状,设计了通用数字作品版权保护模式下的基于身份的数字作品版权保护协议,包括版权注册、版权信息加载、有版权数字作品交易、版权验证和版权仲裁5个方面的协议;协议比较全面地考虑并解决了实际应用中数字作品版权管理存在的安全问题以及效率问题,全部完成该协议需要12次交互,交互次数至少比已有的,基于公钥基础设施PK I(Pub ic Key Infrastructure)的数字作品著作权保护协议少4次。该协议适用于各种网络环境,如果选取适当的水印算法,该协议可用于各种类型的数字作品的版权保护。该协议具有较强的实用性和较好的安全性。
基金the National High Technology Research and Development Program of China(Grant No. 2001AA422420-02).
文摘An important problem constraining the practical implementation of robust watermarking technology is the low robustness of existing algorithms against geometrical distortions. An adaptive blind watermarking scheme utilizing neural network for synchronization is proposed in this paper,which allows to recover watermark even if the image has been subjected to generalized geometrical transforms. Through classification of image’s brightness, texture and contrast sensitivity utilizing fuzzy clustering theory and human visual system, more robust watermark is adaptively embedded in DWT domain. In order to register rotation, scaling and translation parameters, feedforward neural network is utilized to learn image geometric pattern represented by six combined low order image moments. The distortion can be inverted after determining the affine distortion applied to the image and watermark can be extracted in a standard way without original image. It only needs a trained neural network. Experimental results demonstrate its advantages over previous method in terms of computational effectiveness and parameter estimation accuracy. It can embed more robust watermark under certain visual distance, and effectively resist JPEG compression, noise and geometric attacks.
