A VQ-Based Joint Fingerprinting and Decryption Scheme for Secure and Efficient Image Distribution

• Main Authors: Ming Li, Hua Ren, En Zhang, Wei Wang, Lin Sun, Di Xiao
• Format: Article
• Language: English
• Published: Hindawi-Wiley 2018-01-01
• Series: Security and Communication Networks
• Online Access: http://dx.doi.org/10.1155/2018/4313769

The first joint fingerprinting and decryption (JFD) for vector quantization (VQ) images addressed the problem that the decrypted multimedia data may be redistributed from authorized customers to unauthorized customers. The scheme also caused conventional JFD methods to be equipped with a special ability to resist noise interference. Till now, some existing schemes related have been proposed to protect the multimedia content and distribution, but these schemes failed to tackle several problems existing in the original JFD scheme based on VQ image, including high transmission cost and severe fingerprinted image distortion. In this paper, we propose a novel JFD method by combining a weight-sum function with fingerprinting embedding and extraction for VQ images. Under the combination, the visual quality of the fingerprinted image is further improved; also the fingerprint extraction implements a blind extraction process. Experiments and analyses demonstrate the feasibility of the proposed method.