提出一种基于质点平流的增强型IBFV可视化算法，可显著增加IBFV算法生成图像的对比度。首先通过质点平流获得一系列的矢量纹理；然后将这些矢量纹理作为IBFV算法中的背景图像，代替原来的噪声纹理与帧缓存中的纹理进行图像混合生成新图。通过这种方式不仅可以准确反映流场的动态变化，而且增强了矢量线间的对比，同时还可以获得较高的绘制速度。

This paper presents an enhanced IBFV visualization algorithm based on particle advection, it can obviously increase the rendering image contrast. The particle advection is at first performed to get a series of vector textures. Then the vector textures are performed image blending with texture of frame-buffer to generate rendering images, which are treated as the background images of IBFV algorithm instead of noise textures. In this way, it can not only exactly reflect flow dynamic variety, but also enhance the contrast among flow lines. Furthermore, this algorithm can achieve a real-time frame rates as fast as IBFV algorithm.