Title :
Improved Image Fusion Algorithm Based on Wavelet Transform in EFVS
Author :
Gang Li ; Yifeng Dong
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In order to improve EFVS (Enhanced Flight Vision System) in visible light image and infrared image fusion efficiency, to enhance the real-time of Wavelet transform image fusion algorithm, put forward a kind of wavelet transform image fusion algorithm based on matrix Doolittle decomposition. The pixel matrix of the algorithm on the original image is decomposed by Doolittle, Wavelet fusion of upper triangular matrix Doolittle decomposition of image matrix, then using Doolittle matrix inversion to obtain the fusion image. Experimental results show that the algorithm can get better fusion effect, while ensuring a better real-time.
Keywords :
computer vision; image fusion; matrix decomposition; matrix inversion; wavelet transforms; Doolittle matrix inversion; EFVS; enhanced flight vision system; image fusion algorithm; matrix Doolittle decomposition; wavelet transform; Algorithm design and analysis; Entropy; Image fusion; Matrix decomposition; Wavelet analysis; Wavelet transforms; Doolittle decomposition; Enhanced Flight Vision System; Image Fusion; Infrared image;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-5371-4
DOI :
10.1109/CSO.2014.42