Fusion of Multi-focus Images Based on the Nonsubsampled Contourlet Transform

In recent years, image fusion has become a hotspot of image processing. This paper presents a multi-focus image fusion method based on Nonsubsampled Contourlet transform. Firstly, taking Nonsubsampled Contourlet transform for two pairs of source images respectively to get a low-frequency sub-band and a number of high-frequency sub-band direction, and then taking fusion rules of the mean energy of direction contrast and local entropy for high-low-frequency sub-band respectively to select the corresponding coefficient. Finally, fuseing image obtained through the inverse transform. The proposed method, discrete wavelet transform, atrous wavelet transform and a simple method of nonsubsampled contourlet transform are compared in this experiment. The results show that fusion of the proposed method is the best of all.