Fusion of Infrared and Visible Images Based on Non-subsample Contourlet Transform
Abstract: For the single
spectrum image could not fully express the target feature information, this
paper proposed a multispectral image fusion method based on non-subsample
contourlet transform (NSCT). For the low frequency coefficients decomposed,
fourth-order correlation coefficient is used to calculate the correlation
between each low frequency coefficients, averaging fusion for the higher
correlation coefficient, weight phase congruency fusion for the low correlation
coefficient. For high frequency coefficients, Gaussian weight sum modified
Laplace method is used for fusing, to retain more local structure details.
Simulation results show that the method effectively retain the image structure
information and more local details, and increase the image contrast.
Author: Tingman Zhang, Qing
Wang
Journal Code: jptkomputergg160223
