The goal of this thesis is to design and implementation image compress and decompress wireless network system. The proposal wireless network system consisting of one central Personal Computer (PC) and two Personal Computers (PCs) that communicate with each other through router device. The central PC takes the responsibility of monitoring and controlling the PCs of the network. All network PCs communicate with each other by Transmission Control Protocol / Internet Protocol (TCP/IP) protocol suit. In the central PC, the network administrator selected the required image and send it to the other PCs which one of it will compress the grayscale image and other will compress the color image using the following methods: Principle Component Analysis (PCA), Singular Value Decomposition (SVD), Hybrid (Discrete Cosine Transform (DCT) & Discrete Wavelet Transform (DWT)) and Backpropagation Neural Network (BPNN). A comparison between these image compression methods is made based on some of the well-known fidelity measurements such as Compression Ratio (CR) and Mean Square Error (MSE) which have been used to assess the quality of the reconstructed image also based on the computation time of running compression process. The hybrid (DCT & DWT) method yields better results since the resulted reconstructed image has a good quality because of a lower MSE and it gives a higher CR also it takes short time for running the compression process.
