Generalized Hebbian Algorithm based technique for image compression

In this manuscript neural networks architecture is used for image compression. We analyzed the PCA technique with the help of neural networks architecture in which the synaptic weights act as the principal components which are trained through the Generalized Hebbian Algorithm (GHA). A comparison with traditional PCA is performed to demonstrate and illustrate the training and capabilities of the GHA for image compression.