| Among the several techniques developed for image compression using wavelet transform, a few of them show high performance in terms of compression ratio and image quality. These are embedded zero-tree wavelet (EZW), set partitioning in hierarchical trees (SPIHT), space-frequency quantization (SFQ) and trellis coded quantization (TCQ.; In this Thesis we will expand the basis of wavelet transform of an image and various aspects of image compression for a better understanding of the aforementioned techniques. We will implement a few of the techniques using standard C/C++ and Matlab programming languages. The bit rate and PSNR results will be tabulated and plotted for comparison purposes. Some of the reconstructed images will be included for visual comparison. (Abstract shortened by UMI.)... |
