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Noise-Resistant Joint Fingerprinting and Decryption Based on Vector Quantization

机译:基于矢量量化的抗噪联合指纹和解密

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With the popularity of the Internet and development of multimedia technology, media distribution and traitor tracing issues have become critical and urgent. In this paper, a joint fingerprinting and decryption (JFD) scheme based on vector quantization for protecting media distribution is proposed. Before transmission, the proposed method encrypts plain-images using permutation and codeword substitution on the sender side. The decryption key, which is used to decode image and to present a userȁ9;s identity, is stored in advance in the receiverȁ9;s device, such as a set-top box or iPod player. When the subscriber receives the encrypted images, these images are jointly decrypted and fingerprinted and are slightly different from original images. The proposed method, to the best of our knowledge, is the first JFD method for VQ compressed images. The experimental results show that the encrypted image possesses unintelligibility and the recovered image has desirable image quality resistant to noise interference.
机译:随着Internet的普及和多媒体技术的发展,媒体分发和叛逆者追踪问题已变得十分紧迫和紧迫。本文提出了一种基于矢量量化的联合指纹识别和解密(JFD)方案,用于保护媒体分发。在传输之前,所提出的方法在发送方使用置换和码字替换对纯图像进行加密。用于解码图像并呈现用户9身份的解密密钥预先存储在接收机9的设备中,例如机顶盒或iPod播放器。当订户收到加密的图像时,这些图像将被联合解密和指纹识别,与原始图像略有不同。据我们所知,所提出的方法是用于VQ压缩图像的第一种JFD方法。实验结果表明,加密后的图像具有不可理解性,恢复后的图像具有令人满意的抗噪声干扰的图像质量。

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