  The paper presents a parallel implementation of existing image fusion methods
on a graphical cluster. Parallel implementations of methods based on discrete
wavelet transformation (Haars and Daubechies discrete wavelet transform) are
developed. Experiments were performed on a cluster using GPU and CPU and
performance gains were estimated for the use of the developed parallel
implementations to process satellite images from satellite Landsat 7. The
implementation on a graphic cluster provides performance improvement from 2 to
18 times. The quality of the considered methods was evaluated by ERGAS and QNR
metrics. The results show performance gains and retaining of quality with the
cluster of GPU compared to the results obtained by the authors and other
researchers for a CPU and single GPU.
