The availibility of efficient imagers, operating with good imaging quality over a large range of wavelengths, has opened a new era in astronomy. Multiwavelength imaging surveys have been executed or planned, and are providing major breakthroughs in many field of modern astronomy. These survey often collect images of different quality and depth, typically resulting from the combined effort of ground and space-based facilities. In this context, the difficulties originating in the analysis of these often inhomogeneous data sets have hampered the proper exploitation of these data sets, expecially in the field of faint, high redshift galaxies.

On the one side,images at varying wavelengths may provide a surprisingly different glimpse of the Universe, with objects fading or emerging from the backround. On the other side, image quality is usually not constant over the wavelengths, due to different instrument characteristics. A typical case is the combination of high resolution HST images with lower resolution images obtained by ground based telescopes or by the Spitzer telescope. In the latter case, the blending among the objects in the lower resolution images often prevents a full exploitation of the multicolor informations contained in the data.

ConvPhot is designed to work expecially for faint galaxies, allows to accurately measure colors in relatively crowded fields, making full use of the spatial and morphological information contained in the highest quality images to analyze multiwavelenght data with inhomogeneous image quality.

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