Image Fusion is one of the most important methods used in image processing, especially in networks with limited resources such as networks of wireless sensors supporting multimedia. It is classified into technologies operating in spatial domain and o
thers in the frequency domain. In this research, Fusion techniques in frequency domain are manipulated to benefit from its advantages. Discrete Cosine Tansform is used because it fits the characteristics of this type of networking where it is simple, easy to implement and requires low memory.
Three methods based on this transformation, DCTav, DCTma and DCTah, have been investigated and applied to three different sets of images. The evaluation of simulation results, with different parameters, showed that the DCTma was the most appropriate method to integrate the imagery taken from sensory nodes supporting multimedia.
