The invention provides a visible light and
infrared image fusion algorithm based on non-subsample
contourlet transform (NSCT) domain bottom layer visual features.Firstly, visible light and
infrared images are subjected to NSCT, high and
low frequency subband coefficients of the visible light and the
infrared images are obtained, then phase
equalization, neighborhood space frequency, neighborhood energy and other information are combined, the pixel active levels of the
low frequency subband coefficients are comprehensively measured, fusion weights of the
low frequency subband coefficients of the visible light and infrared images are obtained respectively, and therefore low frequency subband coefficients of fusion images are obtained; the pixel active levels of the
high frequency subband coefficients are measured through the combination of phase
equalization, definition, brightness and other information, fusion weights of the
high frequency subband coefficients of the visible light and infrared images are obtained respectively, then
high frequency subband coefficients of the fusion images are obtained, finally, NSCT
reverse transformation is utilized, and final fusion images are obtained.Detail information of source images can be effectively reserved, and meanwhile useful information of the visible light images and the infrared images is synthesized.