In this paper, we give an overview of the theory of residues and its applications. We adopt the algebraic point of view and show how this theory can lead to eeective computations. For this purpose,â€¦ (More)

We present a new variable rate tree-structured vector quantizer (TSVQ) design algorithm, in which the complexity-distortion tradeoff is explicitly managed using a Lagrangian optimization approach.â€¦ (More)

Fractal coding of images is a quite recent and eecient method whose major drawback is the very slow compression phase, due to a time-consuming similarity search between image blocks. A generalâ€¦ (More)

Fractal coding is an eecient method of image compression but has a major drawback: the very slow compression phase, due to a time-consuming similarity search between image blocks. A generalâ€¦ (More)

Vector quantization is an eecient compression technique for which many variants are known. Product code vector quantizers use multiple codebooks for coding separately features of a vector. Inâ€¦ (More)

Vector quantization is an eecient lossy digital signal compression method. It encodes a k-dimensional vector by a reference in a dictionary { or code-book { of representative vectors calledâ€¦ (More)

Vector quantization is the process of encoding vector data as an index to a dictionary { or codebook { of representative vectors. Entropy-constrained vector quantizers (ECVQ) explicitly control theâ€¦ (More)