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. - See more at:
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