A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Infrared and Low-Light-Level Image Fusion Quality Evaluation Based on the Grey Correlation Analysis
2013
Research Journal of Applied Sciences Engineering and Technology
In this study, we evaluate comprehensively the indexes of the five image fusion algorithms through the analysis of grey correlation degree. The result shows: HIS transform method shows a better correlation and the fusion image has the best quality; followed by the component transform method, wavelet transform method, weighed average method with an average fusion image quality and pyramid method shows a relatively poor fusion image.
doi:10.19026/rjaset.5.4597
fatcat:hs7haj4lknfjtk42m424fesc5a