The bandwidth of the communication networks has been increased continuously as results
of technological advances. However, the introduction of new services and the expansion of …

Apart from the existing technology on image compression represented by series of JPEG,
MPEG and H. 26x standards, new technology such as neural networks and genetic …

Presents a compression scheme for digital still images, by using Kohonen's neural network
algorithm, not only for its vector quantization feature, but also for its topological property. This …

Color quantization (CQ) is an image processing task popularly used to convert true color
images to palletized images for limited color display devices. To minimize the contouring …

An unsupervised competitive learning algorithm based on the classical k-means clustering
algorithm is proposed. The proposed learning algorithm called the centroid neural network …

This paper examines much of the recent and/or important work in the field of neural networks
and compression. Specifically, ways in which neural networks can be used to enhance still …

This book is the result of several years of teaching and research at the Federal University of
Campina Grande, Federal University of Pernambuco, and Federal University of Bahia …

Several methods have been proposed to do color quantization for limited color displays. Self-
organization of Kohonen feature maps (SOFM) is a very useful tool for data clustering. By …

The need to transmit data over Internet is increasing at a very fast pace, which requires
techniques that can considerably reduce the size of images so that they occupy less space …

Neural Network Analysis, Architectures and Applications discusses the main areas of neural
networks, with each authoritative chapter covering the latest information from different …