Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech
coding and image coding. Traditional vector quantization methods can be divided into …

Abstract Linde–Buzo–Gray (LBG), a traditional method of vector quantization (VQ) generates
a local optimal codebook which results in lower PSNR value. The performance of vector …

Traditional Chinese Medicine diagnoses a wide range of health conditions by examining
features of the tongue, including its shape. This paper presents a classification approach for …

This paper introduces a novel clustering-based algorithm to train Gaussian type radial basis
function neural networks. In contrast to existing approaches, we develop a specialized …

As the network bandwidth has grown rapidly, it has become common to share a large
number of still images via the Internet by means of batch transmission. Unfortunately, most …

We use fuzzy transforms for coding/decoding color frames of videos and we compare the
results with the same frames reconstructed with the standard JPEG method. We classify all …

The implementation of fuzzy clustering in the design process of vector quantizers faces three
challenges. The first is the high computational cost. The second challenge arises because a …

In this paper, a Bayesian framework is introduced for pattern modeling and multiple point
statistics simulation. The method presented here is a generalized clustering-based method …

Neste tutorial é apresentada uma discussão sobre o algoritmo Fuzzy-c-Means e sobre as
Redes Neurais Fuzzy, considerando a proposta de inserção de princípios da Teoria de …

In the present paper, we propose new image coding methods based on max-plus algebra-
based wavelet transforms (MP-Wavelets). Max-plus algebra is an algebraic structure on the …