Abstract:

In order to measure the performance of several wavelet-based image fusion methods, an image fusion assessment method is used. Two types of source image are used to perform the experiments, four-level wavelet decomposition based method is used to assess the images. Low frequency coefficient of wavelet decomposition matrix is used to fuse images by pixel average value method. Low frequency coefficient of wavelet decomposition matrix is used to fuse images by pixel value method. Then the methods are studied by some experiments. The results show that the information entropy of maximum pixel value and average grads is greatest. The information entropy are 7. 206 5 bit and 5. 983 7*10^-5 bit for underexposure images, 7. 130 8 and 4. 794 3*10^-5 bit for out of focus images. The proposed method gives the best performance in the experiments.

Key words: wavelet-let transform, image fusion, information entropy(IE), average grads(AG)