An image fusion algorithm based on image texture energy feature

An image fusion algorithm based on feature of image texture energy in wavelet domain is proposed. Firstly, the source images are decomposed to the high-frequency and low-frequency Components; secondly, a process for detecting the texture energy of the frequency sub-band images is carried on, following which the wavelet fusion coefficients are obtained in terms of some rules; finally, fused image is produced by the implementation of inverse wavelet transform. Combination with visual evaluation, the standard deviation and information entropy were used for quantitative measure to evaluate the fusion results with different algorithms. Experimental results show that, compared with existing algorithms, the proposed algorithm is an effective image fusion algorithm.