Image fusion method based on potential low-rank representation nested rolling guide image filtering

The invention relates to an image fusion method based on potential low-rank representation nested rolling guide image filtering, and the method comprises the steps: carrying out the decomposition of a to-be-fused infrared image and a to-be-fused visible light image through potential low-rank representation, and obtaining a corresponding low-rank sub-layer and a significant sub-layer; performing multi-scale decomposition on the two low-rank sub-layers, extracting a detail layer, and performing weighted merging to obtain an enhanced layer; fusing the two low-rank sub-layers by using a weighted guided image filtering algorithm based on improved visual saliency mapping to obtain a low-rank sub-layer fused image; fusing the saliency sub-layers by using a pyramid decomposition-based region energy feature adaptive weighted fusion method to obtain a saliency sub-layer fused image; and adding and reconstructing the enhanced image layer, the low-rank sub-layer fusion image and the saliency sub-layer fusion image to obt