Multispectral image fusion approach based on GHM multiwavelet transform

A recent notion of multiwavelets and describe the use of the GHM discrete multiwavelet transform (DMWT) in image fusion processing is reviewed in this paper, and a new image fusion algorithm based on GHM DMWT to fuse multispectral images at pixel level is presented. Multiwavelets are extension from scalar wavelets, and have several advantages in comparison with scalar wavelets. Multiwavelet analysis can offer a more precise image analysis than wavelet multiresolution analysis. In this fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. When images are merged in multiwavelet space, different frequency ranges are processed differently. This image fusion algorithm can used to combine multispectral images from multisensors to obtain a single composite with extended information content. The experiment results show that this fusion algorithm, based on multiwavelet transform, is an effective approach in image fusion area.