Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Vector quantization and signal compression
Vector quantization and signal compression
Hi-index | 0.00 |
New algorithms are proposed for designing optimal binary vector quantizers. These algorithms aim to avoid the problem of the generalized Lloyd method of easily getting trapped into a poor local minimum. To improve the subjective quality of vector-quantized binary images, a constrained optimal binary VQ framework is proposed. Within this framework, the optimal VQ design can be done via an interesting use of linear codes.