Are we using the right quality measures in multi-resolution data fusion?

To establish criteria to assess the quality of the fused images is not a simple task. Our premise was that the quality in data fusion depends on the application as well as on the approach used. The objective of this paper is to evaluate how efficient the current quality measures are to estimate the quality of fused images. In order to achieve that, three different types of wavelet transforms were selected and the results were assessed using different quality measures found in the literature. We concluded that the quality measures were efficient to validate the proposed criteria but some important considerations are done, especially that there is a need for quality measures that are not only based on the comparison between a fused image and an original/test one.