Abstract
The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on discrete multiwavelet transform to fuse multi-sensor images is presented. The detailed discussions in the paper are focused on CL (Chui-Lian) multiwavelet, a two-wavelet and two-scaling function multiwavelet, and use it to accomplish image fusion processing. The CL multiwavelets have several advantages in comparison with scalar wavelets, so that it is employed to decompose and reconstruct images in this algorithm. When images are merged in multiwavelet space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction in remote sensing area. The experiments, including the fusion of registered Visible (VIS) \Infrared (IR) images are presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
