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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.
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on (Volume:1 )
Date of Conference: 29-31 Oct. 2010