This paper addresses the composition of multispectra images for target detection and recognition. It win provide the reader with tools with which multispectra images may be decomposed and new superimages may be composed to emphasize desired features of targets of interest. The proposed methodology consists of blur and noise estimation and reduction processes in association with registration, decomposition and resolution improvements. Examples from real data are being presented.