Abstract: Every day, tremendous number of captured images must be stored and/or transmitted. The repetitive data in the images can be lessened utilizing image compression technique. Image compression prior to storage or transmission will lessen the memory byte size of images which in turn reduces the transmission bandwidth. The compressed image is reconstructed to retain the original image at the receiving end by the inverse process. In this paper, Haar Wavelet Transformation is utilized for image compression and reconstruction. This method is a basic type of lossy compression technique that permits data to be encoded according to “levels of detail”. Compression ratio, Peak signal to noise ratio, Bits per pixel and relative data redundancy of different levels of image compression are compared.
Keywords: Haar wavelet transform, level of detail, compression ratio, Peak signal to noise ratio, Bits per pixel, relative data redundancy.