Image compression technique using a hierarchical neural network

الملخص EN

This paper present a Resilient Back propagation (RBP) algorithm based on hierarchical neural network for image compression.

The proposed technique includes steps to break down large images into smaller blocks for image compression / decompression process.

Furthermore, a Linear Backpropagation (LBP) algorithm is also used to train hierarchical neura network, and both training algorithms are compared.

A number of experiments have been achieved, the results obtained, are the compression rate and Peak Signal to Noise Ratio PSNR of the compressed / decompressed images which are presented in this paper.