Image Compression Using Enhanced Haar Wavelet Technique Kalpna Technological Institute of Textile and Sciences

Data compression which can be lossy or lossless is required to decrease the storage requirement and better data transfer rate. One of the best image compression techniques is using wavelet transform. It is comparatively new and has many advantages over others. Wavelet transform uses a large variety of wavelets for decomposition of images. The state of the art coding techniques like EZW, SPIHT and EBCOT use the wavelet transform as basic and common step for their own further technical advantages. The wavelet transform results therefore have the importance which is dependent on the type of wavelet used .Here, different wavelets are used to perform the transform of a test image and the results are analyzed in terms of PSNR (peak signal to noise ratio) obtained and time taken for decomposition and reconstruction.