The objective of the paper is the application of an adaptive constructive one-hidden-layer
feedforward neural networks (OHL-FNNs) to image compression. Comparisons with fixed …

Compression of digital images has been a very important subject of research for several
decades, and a vast number of techniques have been proposed. In particular, the possibility …

The aim of the paper is to develop an edge preserving image compression technique using
one hidden layer feed forward neural network of which the neurons are determined …

Image compression is an important research domain in image processing. Recently, several
neural netowkr (NN) based schemes developed in this are. In particular, constructive feed …

Data compression occurs naturally in the human brain. The brain detects features and the
context to any input signal and associates with it a name and form. The use of artificial …

To date numerous techniques have been proposed to compress digital images to ease their
storage and transmission over communication channels. Recently, a number of image …

The theory of Neural Networks (NNs) has witnessed a striking progress in the past fifteen
years. The basic issues, such as determining the structure and size of the network, and …