Title :
A comparative analysis of fusion rules for multi-sensor image fusion
Author :
Xie Xiao-zhu ; Xu Ya-wei
Author_Institution :
Dept. of Inf. Eng., Acad. of Armored Force Eng., Beijing, China
Abstract :
The development of multi-sensor image fusion benefits from the improved methods of multi-resolution decomposition and fusion rules. When we choose fusion rules, we should take different characteristics of low and high frequency sub-bands into account. In the experiments, DT-CWT (Dual Tree-complex wavelet transform) was employed to decompose source images. Fused images were produced according to different fusion rules. We evaluate the performance of fused images by Entropy, Spatial Frequency and Standard Deviation. Finally, we summarize the characteristics of proper fusion rules in low and high frequency sub-bands and point out the trend of fusion rules´ development.
Keywords :
entropy; image fusion; image resolution; wavelet transforms; DT-CWT; dual tree-complex wavelet transform; entropy; fusion rules development; high frequency subbands; low frequency subbands; multiresolution decomposition; multisensor image fusion; source images; spatial frequency; standard deviation; DT-CWT; Fusion Rules; Image Fusion;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162617
