Performance Analysis of Embedded Zero Tree and Set Partitioning in Hierarchical Tree

Compressing an image is significantly different than compressing raw binary data. For this different compression algorithm are used to compress images. Discrete wavelet transform has been widely used to compress the image. Wavelet transform are very powerful compared to other transform because its ability to describe any type of signals both in time and frequency domain simultaneously. The proposed schemes investigate the performance evaluation of embedded zero tree and wavelet based compression algorithm- Set Partitioning in Hierarchical Trees (SPHIT) based image compression. The numerical analysis of such algorithms is carried out by measuring Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR).