Full Quaternion based Color Image Fusion

摘要

In this paper, the local variance based full quaternions are used to describe image structure. The new structure is different from the real quaternion based method. Image fusion is performed by quaternion transform. The classical wavelet framework is applied to fusion images. The color information is expressed by quaternion wavelet. In order to measure the performance of several wavelet-based image fusion methods, an image fusion assessment method is used in this paper. Two types of source image are used to perform the experiments, four-level wavelet decomposition based assessment method is used to assess the images. Low frequency coefficient of wavelet decomposition matrix is used to fuse images by pixel average value method. Then the performance the methods are evaluated by some experiments. The results show that the information entropy of maximum pixel value and average grads is the greatest. The proposed method gives the best performance in the experiments.