Implementation of LDPC codes decoding based on maximum average mutual information quantization

As an enhanced version of digital watermarking technology, digital fingerprinting has been developed to protect digital data from piracy by embedding a unique serial number called fingerprint into each distributed copy. To guarantee the fineness of both the merchant and customer, the fingerprinting schemes are designed to be asymmetric. In asymmetric fingerprinting, the merchant can track the traitors from a pirated copy by extracting the embedded unique fingerprint, and the customer is immune of being framed due to the asymmetric property. A lot of asymmetric fingerprinting schemes have been proposed in recent years, and each one has its strengths. To help researchers to further explore more efficient approaches on asymmetric fingerprinting, the performance of some known asymmetric fingerprinting schemes is analyzed in this paper from three aspects, which are computational complexity, communication cost and the security.