Multi energy X-ray image fusion method based on GF-WLS and VSM

To address the problem that a single energy cannot completely reflect all the image information of digital radiography of complex structural parts, we propose an image fusion method based on guided filtering, weighted least squares filtering (GF-WLS) and visual saliency map (VSM). Firstly, two filtering methods were used for multi-scale detail extraction of the image, with the extracted details being used as the detail layer and the original image as the base layer. Secondly, the visual saliency map was constructed by using phase consistency(PC) and pixel contrast. The initial weight map was obtained by the comparison of pixel saliency, and then the noise was removed by using the guided filter. Thirdly, the weight map was normalized as the weighted mapping weights to guide the fusion of the base layer and the detail layer. Finally, the fusion results were obtained by superimposing the two. The experimental comparison showed that the proposed method was able to obtain higher quality fused images.