The aim of this paper to examine a larger set of wavelet functions for implementation in a still image compression system using Set-Partitioning In Hierarchical Tree (SPIHT) algorithm. This paper discusses important features of wavelet transform in compression of still images, including the extent to which the quality of image is degraded by the process of wavelet compression and decompression. Image quality is measured objectively using peak signal to noise ratio. The effect of different parameters is studied on different wavelet functions.

Wavelet transform, image coding, Hierarchical Tree, peak signal to noise ratio