Multi-focus Color Image Fusion Algorithm Based on Intensity

In the paper, the Q-Shift dual-tree complex wavelet transform is applied for the multi-focus color image fusion according to the wavelet transform having some defects of shift-variance and limited orientations in image fusing and to the complexity of multi-focus color image fusion.First, the intensity component of IHS model needs to be decomposed by Q-Shift DT-CWT.Then the low and high frequency coefficients of the intensity componet is gained by the 'selectivity maximun' rules according to the multi-focus imaging features and the correlation of low frequency coefficients and high frequency coefficient.And then, it can obtain the fusion intensity component by the inverse transformation.Last, computing the fusion hue component and saturation component by comparing the close degree of the intensity component values before and after fusion and finishing the whole fusion process.By the comparison of evaluation parameters such as entropy, average gradient, variance and correlation coefficient, the experience results show that the parameters value of the studied method obtain good results and the fusion image has a better quality.