1.1 Overview We are living in a decade recently declared as the" Decade of the Brain".
Neuroscientists may soon manage to work out a functional map of the brain, thanks to …

The problem of image compression via neural networks (NNs) is considered. A parallel
architecture is presented in which different parts of the image are processed by different NNs …

Neural network-based encoder and decoder are one of the emerging techniques for image
compression. To improve the compression rate, these models use a special module called …

A new method of classification of sub-image blocks for digital image compression purposes
using neural network is proposed. Two different classification algorithms are used to show …

In this paper a neural autoassociative technique applied to image compression is presented.
Particular attention is devoted to the preprocessing stage. The validity of some of the already …

A massively parallel implementation on the associative string processor (ASP) machine of a
neural-network-based technique for image compression is presented. Despite the linear …

This paper presents a novel lossy compression scheme for medical images by using an
incremental self–organized map (ISOM). Three neural networks for lossy compression …

In this paper a massively parallel implementation on the Associative String Processor (ASP)
machine of a neural network-based technique for image compression is presented. Despite …

A new multiresolution algorithm for image compression based on projection pursuit neural
networks is presented. High quality low bit-rate image compression is achieved first by …

In this paper, we present a neural network-based approach to the problem of video
compression. In particular, an MPEG-like encoder is proposed, in which a novel scheme is …