Title :
Image Fusion Using an Improved Max-Lifting Scheme
Author :
Yang, Bo ; Chen, Erkui
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
This paper presents a novel image fusion algorithm using an improved nonlinear wavelet-decomposition-scheme. The scheme is obtained by introducing redundancy in the max-lifting scheme. Experimental results based on real-world images show that the proposed algorithm produces good results in medical image fusion and visual-infrared image fusion; moreover, it is computationally efficient as a shift-invariant scheme.
Keywords :
image fusion; wavelet transforms; image fusion; improved Max-Lifting scheme; nonlinear wavelet-decomposition-scheme; Biomedical imaging; Educational institutions; Image fusion; Image reconstruction; Intelligent sensors; Layout; Multilevel systems; Paper technology; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304719
