A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application
International Journal of Integrated Engineering
Image compression had begun since late 40's, which the information theory's era starts. As time goes on, human demand is getting higher due to the current sophisticated technology that never end. Nowadays, image compression has been widely utilized in several types of applications especially in communicat ion system. There are two methods of image compression; (i) Lossless image compression, and (ii) Lossy image compression. Lossless image compression allows the original image to be perfectly
... constructed from the compressed data while lossy image compression will have some data loss and error after compression  . Therefore, image compression is very Abstract: Nowadays, the demands on the usage of wireless network are increasing rapidly from year to year. Wireless network is a large scale of area where many nodes are connecting to each other to commun icate using a device. Primarily, wireless network also tend to be as a link to transmit and receive any multimedia such as image, sound, video, document and etc. In order to receive the transmitted media correctly, most type of media must be compressed before being transmitted and decompressed after being received by the device or else the device used must have the ability to read the media in a compressed way. In this paper, a hybrid compression of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with Huffman encoding technique are proposed for Wireless Sensor Network (WSN) application. Data compression is very useful to remove the redundant data and reduce the size of image. After conducting a comprehensive observation, it is found that hybrid compression is suitable due to the process consist of the combination of multiple compression techniques which suits for Wireless Sensor Network's application focusing on ZigBee platform.