Joint fingerprinting and decryption with noise-resistant for vector quantization images

Combined compression and denoising of images using vector quantization

Compression of a noisy source is usually a two stage problem, involving the operations of estimation (denoising) and quantization. A survey of literature on this problem reveals that for the squared error distortion measure, the best possible compression strategy is to subject the noisy source to an optimal estimator followed by an optimal quantizer for the estimate. What we present in this pap...

Decryption Key Design for Joint Fingerprinting and Decryption in the Sign Bit Plane for Multicast Content Protection

The prime objective in this paper is to explore the possibility of combining the seemingly orthogonal processes of watermarking and encryption along the spirit of the chameleon cipher. By integrating perceptual models indirectly through a ’weeding’ process and collusion resistant coding methodologies in the design of the decryption keys, we have shown that it is possible to embed a robust yet r...

A New Joint Fingerprinting and Decryption Scheme based on a Lattice Problem

We propose a new encryption scheme that supports joint fingerprinting and decryption. The scheme is remarkably resistant to known-plaintext attack and collusion attack (e.g. average attack or other linear combination attack) on keys. Interestingly, the security of our scheme is relied on a lattice problem: Given a collection of random lattice points generated from a short basis of a lattice, fi...

Simultaneous Compression and Denoising of Imagery Using Non-linear Interpolative Vector Quantization

Quantization of a noisy source is a classic problem. Although, optimal solutions have been shown to exist under certain assumptions, they are usually either extremely difficult to implement or computationally very intensive. The vector quantization (VQ) based strategy we present in this paper is simple, efficient, and capable of joint compression and denoising of images corrupted by additive wh...

Secure multicasting of images via joint privacy-preserving fingerprinting, decryption, and authentication