Image Compression Techniques in Wireless Sensor Networks

There are various compression techniques like transform coding,, Entropy coding, Arithmetic coding. Wavelet based coding etc. In this paper an attempt is made to combine Haar and Hadamard transform. This algorithm is used to compress the images in lossless and lossy compressions. DCT (Discrete Cosine Transform), Hadamard along with Haar transform is used to compress the image and enhance the transmission in Wireless Sensor Networks. The enhancement in image quality and compression ratio is achieved. The compression is done by combining various compression algorithms like Haar and Hadamard transforms. Compression algorithms include Haar, DCT, Hadamard Quantization and Entropy encoding. The decompression is the inverse of the above process. Now, the compressed file is sent through Wireless Sensor Networks (WSN). The source node receives the file and is transmitted to destination through network parameters such as routing, energy, delay, packet delivery ratio (PDR), delay are calculated. The compression is done using MATLAB tool where the proposed algorithm is applied for compressed file. For the Wireless Sensor Network (WSN), the simulation tool called NS2 (Network Simulator 2) is used. The compressed file is now sent from source to destination in WSN.