Paper
4 January 2006 An algorithm for image information fusion based on CL multiwavelet
Haihui Wang, Wei Wang
Author Affiliations +
Proceedings Volume 5985, International Conference on Space Information Technology; 59853I (2006) https://doi.org/10.1117/12.658167
Event: International Conference on Space information Technology, 2005, Wuhan, China
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haihui Wang and Wei Wang "An algorithm for image information fusion based on CL multiwavelet", Proc. SPIE 5985, International Conference on Space Information Technology, 59853I (4 January 2006); https://doi.org/10.1117/12.658167
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image fusion

Wavelets

Image quality

Image information entropy

Infrared imaging

Discrete wavelet transforms

Image processing

Back to Top