Open AccessMulti‐sensor image fusion based on NSST domain I 2 CM
Author(s) -
Kong W.W.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.1192
Subject(s) - fuse (electrical) , inverse , image fusion , image (mathematics) , artificial intelligence , fusion , domain (mathematical analysis) , computer vision , scale (ratio) , computer science , pattern recognition (psychology) , mathematics , physics , mathematical analysis , geometry , quantum mechanics , linguistics , philosophy
Presented is a novel technique to fuse multi‐sensor images using non‐subsampled shearlet transform (NSST) domain I 2 CM. First, multi‐scale and multi‐directional decompositions of source images can be performed by NSST. The classic ICM is improved to be I 2 CM which is then exploited to capture and extract the characteristics of each of the sub‐band images. Finally, the fused image is reconstructed from the fused sub‐images by adopting the inverse NSST. Experimental results demonstrate that the proposed image fusion scheme is very competitive compared with other conventional ones in both visual effect and objective evaluation criteria.