Title :
Comparison of fusion methods for the infrared and color visible images
Author :
Zhang, Xiuqiong ; Chen, Qingli ; Men, Tao
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Leshan Teachers´´ Coll., Leshan, China
Abstract :
Image fusion involves merging two or more images in such a way as to retain the most desirable characteristics of each. When a color visible image is fused with infrared image, the desired result is a color image with natural color appearance and full information. In this paper, three image fusion algorithms based on discrete wavelet transform (DWT), dual-tree complex wavelet transform (DT-CWT) with image enhancement and bidimensional empirical model decomposition (BEMD) are compared for the infrared and color visible images. A novel image quality metric is proposed to evaluating the performance of image fusion algorithms. This measurement is defined for comparative performance analysis and is used on the output of fusion algorithms that have been applied to a set of infrared and color visible band imagery.
Keywords :
discrete wavelet transforms; image colour analysis; image enhancement; image fusion; infrared imaging; matrix decomposition; DWT; bidimensional empirical model decomposition; color visible band imagery; discrete wavelet transform; dual-tree complex wavelet transform; image enhancement; image fusion algorithm; image quality metric; infrared images; natural color appearance; Color; Discrete wavelet transforms; Image fusion; Image quality; Image recognition; Image sensors; Infrared image sensors; Infrared imaging; Layout; Wavelet coefficients; BEMD; DT-CWT; DWT; color similarity; image fusion; image quality metric; structural similarity index;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234674
