Image fusion method based on GFRW and ISCM

The invention discloses an image fusion method based on GFRW and ISCM, and the image fusion method comprises the following steps: S1, carrying out the NSST of all to-be-fused source images, and obtaining a low-frequency sub-band image and a plurality of high-frequency sub-band images of each source image; S2, obtaining the improved Laplace energy and SML of each pixel point, obtaining an initial fusion decision mapping graph, obtaining a rough fusion decision mapping graph through GF, obtaining a final fusion decision mapping graph through RW, and completing the fusion of the low-frequency sub-band images; S3, constructing an improved pulse cortex model ISCM based on the field of neural networks, importing all high-frequency sub-band images into the constructed ISCM, and completing the fusion of the high-frequency sub-band images; and S4, performing NSST inverse transformation on the high-frequency sub-band image and the low-frequency sub-band image of the final fused image to obtain afinal fused image F. In