Infrared and visible image fusion method based on compound decomposition and intuitionistic fuzzy set

To overcome the shortcomings of traditional image fusion algorithms based on multiscale transform, an infrared and visible method compound decomposition intuitionistic fuzzy set is proposed. Firstly, non-subsampled contour transform used to decompose source into low-frequency coefficients high-frequency coefficients. Then potential low-rank representation model basic sub-bands salient sub-bands, in which visual saliency map taken as weighted coefficient. The summation rule. maximum absolute value also two rules are superimposed obtain entropy rule measure texture information edge Finally, obtained with inverse transform. comparison results objective subjective evaluation several sets images show that our can effectively keep rich images, thus producing better quality than other methods.