We sparsely sample image plane for local neighborhoods and perform Hotelling transform on that data. We take single sample from resulting continuous texture and splash a Gaussian disk of that color on image plane. We name this process Monet filter since it shows Monet's brush stroke. Figure 4 is generated by applying this process to figure 3. They suggested an approach to use linear and curvilinear filtering technique to locally blur textures along a vector field.
Vector fields can be perpendicular to local gradient or along the gradient.
LIC can be applied after or before color samples of an image are displaced by our texture generation algorithm. It is based on color distribution information which was achieved by PCA analysis. It perturbs smearing with juxtaposition texture. The resulted images show better artistic flavor compared to images to which only LIC is applied. Figure 7 shows the images after LIC is applied to figure 3.