@Article{JFBI-8-3,
author = {},
title = {A Novel Image Fusion Method Via Ratio Weighted and Condition Weighted Based on Shearlet Transform},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2015},
volume = {8},
number = {3},
pages = {625--633},
abstract = {In this paper, a new image fusion method is proposed based on the shearlet transform. The new image
is reconstructed by image fusion, which provides richer visual information than the original images.
The image could be decomposed by shearlet transform in any scale and any direction, and the detail
information can be caught easily. The multi-scale and multiple directions decomposition coefficients
are obtained through shearlet transformation. The fusion results are analyzed and compared with
the measurement of human visual system and objective evaluation. The experiment results show the
advantages of the new fusion method compare to other classical fusion algorithm. The simulation results
of the multimodal images are adopted to demonstrate that the algorithm based on shearlet transform is
able to obtain fused images of higher clarity and complementary information compared with any other
methods.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbim00118},
url = {https://global-sci.com/article/86605/a-novel-image-fusion-method-via-ratio-weighted-and-condition-weighted-based-on-shearlet-transform}
}