Multi-focus Image Fusion Simulation

In the transmitting process,low definition may be caused by noises.In order to improve the image clarity,an improved multi-focus image fusion algorithm based on multi-wavelet transform was proposed.By using different wavelets,the decomposition were carried out with the images to be fused,and multi-scale and double structuring element was used in filtering of the input image.For the fusion rules,the weighted average method was used to choose the high frequency coefficients,and the largest absolute value was used for the low-frequency coefficients.The experiments of multiple sets of multi-focus images show that this method can be used to retain edge information with better effects,and the image fusion results are better than the traditional image fusion methods.