STUDY AND PERFORMANCE OF EZW AND SPIHT ALGORITHM IN SATELLITE IMAGE COMPRESSION.

In Still images acquired on board the observation satellites of the Earth is more and more characterized by a high spectral resolution with the acquisition of information in the whole spectrum, where traditional remote sensing systems provide some portions of the spectrum.This mode of acquisition brings an assertive quality of data, but do not remain without consequences on systems and conventional equipment transmission and storage, with a cost translates into extra transmission delay and an overflow backup spaces. The primary objective of this work is to answer this double deficit by developing the new satellite image compression techniques. Namely the development of algorithms based on wavelet decomposition image and optimizing said treatment for a better performance in the compression ratio while maintaining image quality developed using both algorithms EZW and SPIHT compared with DCT algorithm.