An efficient parallel structure that uses multirate techniques is introduced for the analysis of images by the method of moments. The basic idea of the proposed method is to split the original image into a set of subband signals using a bank of bandpass filters. The subband signals are then low-pass translated by down-sampling resulting in a set of subimages of lower dimensions, which are analyzed separately using the method of moments. In image analysis using the method of moments, the major time-consuming task is the computation of the moments. Moreover, it is hard to reconstruct details of the images from the moments since only moments of higher orders carry the fine detail of an image and they are vulnerable to white noise, such as the quantization noise. With the proposed technique, the computation time is reduced due to the parailel structure, the computational complexity is reduced by using only the dominant subimage in most applications, and the fine detail of the image if necessary can be provided by the moments of upper-band subimages.