Image fusion based on monoscale ridgelet transform
基于单尺度脊波变换的图像融合

Image fusion can be considered as a process to analyze, abstract and synthesize singularities of 2-D functions. The upper bound of approximation error of the monoscale ridgelet transform is lower than that of the wavelet transform. As a result, the energy of the coefficients correlated with the edges and the comers in images is more compact. The relation between the effect of fusion methods based on the transform domain and the rate of approximation of the transform was discussed. A new image fusion method based on the monoscale ridgelet transform was put forward. In experiments, the proposed method was compared with the algorithms based on the Laplacian pyramid, the wavelet transform, and other existing methods. Results show that the proposed method outperforms the others, and exploit the application scope of the monoscale ridgelet transform.