Image Fusion Algorithm Based on Wavelet Transformation

An image fusion algorithm based on wavelet transformation is given in the paper. Aimed at the different frequency domains decomposition of original images, the principles of choosing high-frequency coefficients and low-frequency one are discussed. While choosing high-frequency coefficients, we select these that have maximal values. When choosing low-frequency coefficients, we design three methods. The first method is average method, which decreases the contrast of images in some degree. The second method is combination of average and selection proposed by Burt, which uses average method and selectively method alternatively according to the match degree of images. The third method is based on edges of images, which selects the pixels that might be on the edges possibly from original images. So the fused image is the clearest and has the most details. The algorithm is used to fuse multi-waveband images. The results show that the algorithm can preserve most of edges of original images. In the fused image, all useful information of every band image is also preserved