On the basis of the statistical characterestics of satellite meteorological infrared cloud-charts this paper presents a coding algorithm of“Sub-sampling+Modified JPEG+Image enlarging”

realizing a compression ratio of 50∶1～100∶1

with the PSNR of 35～40dB and visually unperceptible distortion. For error-free data compression of satellite cloud-charts

training set is selected to seek the minimum mean-square-error preditor

which is used as the fixed predictor and applied to the compression of any cloud-chart image

with a better performance than any other fixed predictors reported so far.