An approach for reducing the redundancy of image using Discrete Wavelet Transform technique.

Data compression is the process of converting data files into smaller files for efficiency of storage and transmission. As one of the enabling technologies of the multimedia revolution, data compression is a key to rapid progress being made in information technology. It would not be practical to put images, audio, and video alone on websites without compression. Here, we using image data compression using 2D-wavelet transform analysis. It carried out in two methods namely: Global Thresholdingand Level-Dependent Threshold. In this analysis, we carried out the process by using level-dependent thresholding, the density of the wavelet decomposition was reduced by 3% while improving the L2-norm recovery by 3%. The EZW coding algorithm was implemented to achieve better compression results