Image fusion takes a significant part in the technology of information enhancement. By analyzing the advantages and disadvantages of previous methods , this paper proposes an improved wavelet-transform-algorithm, which both considers the fusion methods of low-frequency and high-frequency components: On the low-frequency sub-band aspect, introducing a border detector operator in order to collect the border information of images that can be the basis of selective fusion method; On the high-frequency sub-band aspect, applying the local-standard-deviation to being the basis of selective and weighted-averaging fusion method. The experiments reveal that the proposed algorithm contributes to enhancing the definition and contract ratio of the fused images, thereby it’s a valid method.

Date Published: 11 September 2013
PDF: 7 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89070Y (11 September 2013); doi: 10.1117/12.2031878

Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)