A new image fusion algorithm based on fractional wavelet transform

The fractional wavelet transform is a kind of signal analysis method established in the Fourier´s analysis. It has multi-resolution and fractional domain analysis characteristics. It simultaneously has the good localization characteristic in the time domain and the frequency domain. In order to discuss its application in the image fusion, a kind of image fusion algorithm based on the fractional wavelet transform is proposed. First two source images are decomposed to different frequency bands via taking fractional wavelet transform, then takes the largest absolute value fusion rules to gain the fusion coefficients, finally obtains the fusion image after taking fractional wavelet inverse transform. The simulation results show that the performance evaluation of the fused image based on fractional wavelet transform is better than that based on conventional wavelet transform and fractional Fourier transform under same condition.