ANN Implementation for Image Compression and Decompression Using Back Propagation Technique

Syed Aseem Ahamed, K Chandrashekarappa

Abstract: here we are using one of the applications of artificial neural networks (ANN) for image compression and decompression; by making use of Back propagation algorithm. An image compressing algorithm based on back propagation (BP) network is developed after image pre-processing; which includes preparation of training pair; elimination of redundant pairs; and the compressed data with the noise fed into the receiver network for image reconstruction. The decompressed image is compared with the original image. This uses the same algorithm which is used for the compression. The algorithm is written in Verilog-HDL; for digital simulation and the hardware Implementation of this technique is done by using Vertex-2E Pro FPGA kit

Keywords: Artificial neural networks ANN, Back propagation, compression, decompression, HDL, FPGA, and Simulation