Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Dithering in Lattice Quantization
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
Scalar Costa scheme for information embedding
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Achieving 1/2 log (1+SNR) on the AWGN channel with lattice encoding and decoding
IEEE Transactions on Information Theory
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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We study watermarking techniques based on Quantization Index Modulation for which sets of lattice quantizers Q m are used (LQIM). A recipe for constructing such quantizers Q m is proposed, where the size of these sets is variable, so that the payload is easily adaptable. We make a comparative study of 8 dimensional lattices with good quantizer properties, where the embedding is done in the wavelet domain. Along the way, the gap between the theoretical ideas behind QIM and practical systems using lattices is closed by extending techniques, such as dithered quantizers and distortion compensation, from the scalar case to LQIM.