An image fusion algorithm based on directional local energy of wavelet transform

A new image fusion algorithm based on wavelet transform is proposed, according to the directional characteristics of the high-frequency. Using wavelet transform decomposes an image into low-frequency sub-bands and high-frequency sub-bands in different scale, low-frequency sub-band using the correlation coefficients based on spatial frequency to determine the fusion rule; for each high-frequency sub-bands under their directional characteristic, using the local energy to determine the high-frequency coefficients. Experimental results and evaluation parameters show that this algorithm is effective and provide a performance better than that of other methods.