In this paper we present an efficient method for estimating the significant points of a gray level image by means of a fuzzy clustering algorithm. This method can be used to reduce the resolution of the image so it can be transmited and later reconstructed with the greatest reliability. We will show how using less than 0.01 of the original information it is possible to reconstruct an image with a considerable level of detail.