Feasibility of Image Compression in FPGA based Neural Networks

Abstract

The paper examines the feasibility of using neural network based image compression in the implementation on single FPGA based platforms. There are examined two paradigms of neural networks in the paper -multilayer perceptron as supervised learning representative, and self-organizing feature map as unsupervised learning or self-organization representative.