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.