One of the distinguished properties of the discrete wavelets transform is that the major dominant factors can be extracted from the data. We have applied this property to the data compression and reducing the noise data. In the present paper, we have tried to shrink and enlarge the wind vector image data by the three dimensional discrete wavelets transform. Several examples demonstrate the usefulness of our new method to work out the graphical communication tools.
