Image fusion method based on stationary multiwavelet transform

A translation-invariant extension of multiwavelet transform called stationary multi-wavelet transform (SMWT) was proposed, which yields an overcomplete signal representation, and consequently incorporates the advantages of multiwavelet transform and translation-invariant property. Then, the image fusion techniques in the SMWT domain are studied, and a new image fusion algorithm based on cross-band-window-intrascale (CBWI) property in the SMWT domain is presented. Finally, the application of our proposed method to pixel level multi-focus images fusion problem is analyzed and compared with other image fusion methods. The simulation results indicate the method's superiority to the traditional wavelet-based image fusion method in terms of both visual quality and objective evaluation criteria.