In the present work we develop a biologically inspired image coding system. The distribution of photoreceptors across the human retina is not uniform which provides a space-variant acuity since the sampling rate varies with the visual angle. Such an organization allows to selectively reduce the amount of visual information to process through attention mechanisms. Then, while most current computer vision models work with a constant spatial resolution, we study the use of a space- variant architecture in the image processing context. The method we present here is an illustration of such an approach.