This work concerns with a technique for progressive image transmission. The method bases on the Burt and Adelson Pyramid Model. The method applies vector quantization to a pyramid of difference images. These, result from the subtraction of parts of the shuffled image. The decimated image pixel represents the mean value of four neighboring pixels ot the original image, partitioned in 2x2 blocs of pixels. This decimated image is a mean image and their set also constitutes itself a pyramid. At each new pyramided level, the considered original image is the mean image of the previous level. The progressive image transmission is by sending first the highest level difference image (with the minimum number of pixels) up to the lowest difference image level. The work also includes results comparison to other literature know methods in terms of peak signal to noise ratio, subjective quality and computational effort.